FEED Validator

for Atom and RSS and KML

Sorry

This feed does not validate.

line 1, column 0: Undefined root element: br [help]
```
<br />
```
line 2, column 0: XML parsing error: <unknown>:2:0: junk after document element [help]
```
<b>Notice</b>:  Function _load_textdomain_just_in_time was called <strong>in ...
```

In addition, interoperability with the widest range of feed readers could be improved by implementing the following recommendation.

Feeds should not be served with the "text/html" media type [help]

Source: https://www.ssla.co.uk/long-short-term-memory/

<br />
<b>Notice</b>: Function _load_textdomain_just_in_time was called <strong>incorrectly</strong>. Translation loading for the <code>affiliates-manager</code> domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the <code>init</code> action or later. Please see <a href="https://developer.wordpress.org/advanced-administration/debug/debug-wordpress/">Debugging in WordPress</a> for more information. (This message was added in version 6.7.0.) in <b>/home/u139529998/domains/ssla.co.uk/public_html/wp-includes/functions.php</b> on line <b>6121</b><br />
<br />
<b>Notice</b>: Function _load_textdomain_just_in_time was called <strong>incorrectly</strong>. Translation loading for the <code>it-l10n-ithemes-security-pro</code> domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the <code>init</code> action or later. Please see <a href="https://developer.wordpress.org/advanced-administration/debug/debug-wordpress/">Debugging in WordPress</a> for more information. (This message was added in version 6.7.0.) in <b>/home/u139529998/domains/ssla.co.uk/public_html/wp-includes/functions.php</b> on line <b>6121</b><br />
<br />
<b>Notice</b>: Function _load_textdomain_just_in_time was called <strong>incorrectly</strong>. Translation loading for the <code>it-l10n-ithemes-security-pro</code> domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the <code>init</code> action or later. Please see <a href="https://developer.wordpress.org/advanced-administration/debug/debug-wordpress/">Debugging in WordPress</a> for more information. (This message was added in version 6.7.0.) in <b>/home/u139529998/domains/ssla.co.uk/public_html/wp-includes/functions.php</b> on line <b>6121</b><br />
<br />
<b>Notice</b>: Function _load_textdomain_just_in_time was called <strong>incorrectly</strong>. Translation loading for the <code>woocommerce-gateway-paypal-express-checkout</code> domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the <code>init</code> action or later. Please see <a href="https://developer.wordpress.org/advanced-administration/debug/debug-wordpress/">Debugging in WordPress</a> for more information. (This message was added in version 6.7.0.) in <b>/home/u139529998/domains/ssla.co.uk/public_html/wp-includes/functions.php</b> on line <b>6121</b><br />
<!DOCTYPE html><html lang="en-US" class="lt-ie10 lt-ie9 no-js" prefix="og: https://ogp.me/ns#" lang="en-us">
<![endif]--><!--[if IE 9]><html lang="en-US" class="lt-ie10 no-js" prefix="og: https://ogp.me/ns#" lang="en-us">
<![endif]--><html lang="en-US" class="no-js" prefix="og: https://ogp.me/ns#" lang="en-us">
<head><meta charset="utf-8"><link rel="preconnect" href="https://fonts.gstatic.com/" crossorigin /><script src="data:text/javascript;base64,V2ViRm9udENvbmZpZz17Z29vZ2xlOntmYW1pbGllczpbIkxpYnJlIEZyYW5rbGluOjMwMCwzMDBpLDQwMCw0MDBpLDYwMCw2MDBpLDgwMCw4MDBpOmxhdGluLGxhdGluLWV4dCJdfX07aWYodHlwZW9mIFdlYkZvbnQ9PT0ib2JqZWN0IiYmdHlwZW9mIFdlYkZvbnQubG9hZD09PSJmdW5jdGlvbiIpe1dlYkZvbnQubG9hZChXZWJGb250Q29uZmlnKX0=" defer></script><script data-optimized="1" src="https://www.ssla.co.uk/wp-content/plugins/litespeed-cache/assets/js/webfontloader.min.js" defer></script><link data-optimized="2" rel="stylesheet" href="https://www.ssla.co.uk/wp-content/litespeed/css/5a6793ecf7db821bc387411782f5131a.css?ver=34820" /><meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"><meta name="viewport" content="width=device-width,initial-scale=1"><meta name="msapplication-tap-highlight" content="no"><meta name="generator" content="Webnode 2"><meta name="apple-mobile-web-app-capable" content="yes"><meta name="apple-mobile-web-app-status-bar-style" content="black"><meta name="format-detection" content="telephone=no"><meta name="google-site-verification" content="PMYbq1w5vSmZYbanaTzAGAULVY13Mn9rWvoNe6oeb1A" /><meta property="og:url" content="https://www.ssla.co.uk/"><meta property="og:title" content="ssla-co-uk"><meta property="og:type" content="article"><meta property="og:description" content="High performance data acquisition"><meta property="og:site_name" content="ssla-co-uk"><meta property="og:image" content="https://ssla.co.uk/_files/200000001-807d78177b/700/default.png"><meta property="og:article:published_time" content="2018-06-19T00:00:00+0200"><link rel="canonical" href="https://www.ssla.co.uk/"><link rel="icon" href="https://www.ssla.co.uk/wp-content/themes/ssla/favicon.png" type="image/png" sizes="16x16">
<script src="data:text/javascript;base64,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" defer></script> <script src="https://www.googletagmanager.com/gtag/js?id=UA-122251477-1" defer data-deferred="1"></script> <script src="data:text/javascript;base64,d2luZG93LmRhdGFMYXllcj13aW5kb3cuZGF0YUxheWVyfHxbXTtmdW5jdGlvbiBndGFnKCl7ZGF0YUxheWVyLnB1c2goYXJndW1lbnRzKX0KZ3RhZygnanMnLG5ldyBEYXRlKCkpO2d0YWcoJ2NvbmZpZycsJ1VBLTEyMjI1MTQ3Ny0xJyk=" defer></script> <meta name='robots' content='index, follow, max-image-preview:large, max-snippet:-1, max-video-preview:-1' /><title>what is long short term memory? And how long is memory? | ssla.co.uk</title><meta name="description" content="Find the right long short term memory device for your project. We provide evaluation hardware software for ARM, RISC-V and x86 ISA boards ?" /><link rel="canonical" href="https://www.ssla.co.uk/long-short-term-memory/" /><meta property="og:locale" content="en_US" /><meta property="og:type" content="article" /><meta property="og:title" content="what is long short term memory? And how long is memory? | ssla.co.uk" /><meta property="og:description" content="Find the right long short term memory device for your project. We provide evaluation hardware software for ARM, RISC-V and x86 ISA boards ?" /><meta property="og:url" content="https://www.ssla.co.uk/long-short-term-memory/" /><meta property="og:site_name" content="ssla.co.uk" /><meta property="article:publisher" content="http://www.facebook.com/ssla.rein.design" /><meta property="article:modified_time" content="2020-08-20T15:30:45+00:00" /><meta property="og:image" content="https://www.ssla.co.uk/wp-content/uploads/2020/08/long-short-term-memory-300x158.png" /><meta name="twitter:card" content="summary_large_image" /><meta name="twitter:site" content="@ssla_embedded" /><meta name="twitter:label1" content="Est. reading time" /><meta name="twitter:data1" content="5 minutes" /> <script type="application/ld+json" class="yoast-schema-graph">{"@context":"https://schema.org","@graph":[{"@type":"WebPage","@id":"https://www.ssla.co.uk/long-short-term-memory/","url":"https://www.ssla.co.uk/long-short-term-memory/","name":"what is long short term memory? And how long is memory? | ssla.co.uk","isPartOf":{"@id":"https://www.ssla.co.uk/#website"},"primaryImageOfPage":{"@id":"https://www.ssla.co.uk/long-short-term-memory/#primaryimage"},"image":{"@id":"https://www.ssla.co.uk/long-short-term-memory/#primaryimage"},"thumbnailUrl":"https://www.ssla.co.uk/wp-content/uploads/2020/08/long-short-term-memory-300x158.png","datePublished":"2020-08-07T05:23:28+00:00","dateModified":"2020-08-20T15:30:45+00:00","description":"Find the right long short term memory device for your project. We provide evaluation hardware software for ARM, RISC-V and x86 ISA boards ?","breadcrumb":{"@id":"https://www.ssla.co.uk/long-short-term-memory/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https://www.ssla.co.uk/long-short-term-memory/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https://www.ssla.co.uk/long-short-term-memory/#primaryimage","url":"https://www.ssla.co.uk/wp-content/uploads/2020/08/long-short-term-memory.png","contentUrl":"https://www.ssla.co.uk/wp-content/uploads/2020/08/long-short-term-memory.png","width":864,"height":455,"caption":"long short term memory"},{"@type":"BreadcrumbList","@id":"https://www.ssla.co.uk/long-short-term-memory/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://www.ssla.co.uk/"},{"@type":"ListItem","position":2,"name":"long short term memory"}]},{"@type":"WebSite","@id":"https://www.ssla.co.uk/#website","url":"https://www.ssla.co.uk/","name":"ssla.co.uk","description":"Embedded Linux hardware and software solution","publisher":{"@id":"https://www.ssla.co.uk/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://www.ssla.co.uk/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https://www.ssla.co.uk/#organization","name":"www.ssla.co.uk","url":"https://www.ssla.co.uk/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https://www.ssla.co.uk/#/schema/logo/image/","url":"https://www.ssla.co.uk/wp-content/uploads/2019/01/ssla_logo.gif","contentUrl":"https://www.ssla.co.uk/wp-content/uploads/2019/01/ssla_logo.gif","width":306,"height":72,"caption":"www.ssla.co.uk"},"image":{"@id":"https://www.ssla.co.uk/#/schema/logo/image/"},"sameAs":["http://www.facebook.com/ssla.rein.design","https://x.com/ssla_embedded","https://www.linkedin.com/company/ssla-co-uk/","https://www.pinterest.at/scadadevice/","https://www.youtube.com/watch?v=k9OrY2iSQ68&amp;amp;t=2s"]}]}</script> <link rel='dns-prefetch' href='//stats.wp.com' /><link rel='dns-prefetch' href='//fonts.googleapis.com' /><link rel='dns-prefetch' href='//www.youtube.com' /><link href='https://fonts.gstatic.com' crossorigin rel='preconnect' /><link rel="alternate" type="application/rss+xml" title="ssla.co.uk » Feed" href="https://www.ssla.co.uk/feed/" /><link rel="alternate" type="application/rss+xml" title="ssla.co.uk » Comments Feed" href="https://www.ssla.co.uk/comments/feed/" /><!--[if lt IE 9]><link rel='stylesheet' id='twentyseventeen-ie8-css' href='https://www.ssla.co.uk/wp-content/themes/ssla/assets/css/ie8.css' type='text/css' media='all' />
<![endif]--> <script type="text/javascript" src="https://www.ssla.co.uk/wp-includes/js/jquery/jquery.min.js" id="jquery-core-js"></script>  <script type="text/javascript" src="https://stats.wp.com/s-202519.js" id="woocommerce-analytics-js" defer="defer" data-wp-strategy="defer"></script> <link rel="https://api.w.org/" href="https://www.ssla.co.uk/wp-json/" /><link rel="alternate" title="JSON" type="application/json" href="https://www.ssla.co.uk/wp-json/wp/v2/pages/7344" /><meta name="generator" content="WordPress 6.8.1" /><meta name="generator" content="WooCommerce 9.8.4" /><link rel='shortlink' href='https://www.ssla.co.uk/?p=7344' /><link rel="alternate" title="oEmbed (JSON)" type="application/json+oembed" href="https://www.ssla.co.uk/wp-json/oembed/1.0/embed?url=https%3A%2F%2Fwww.ssla.co.uk%2Flong-short-term-memory%2F" /><link rel="alternate" title="oEmbed (XML)" type="text/xml+oembed" href="https://www.ssla.co.uk/wp-json/oembed/1.0/embed?url=https%3A%2F%2Fwww.ssla.co.uk%2Flong-short-term-memory%2F&format=xml" /> <script src="https://www.googletagmanager.com/gtag/js?id=AW-472720427" defer data-deferred="1"></script> <script src="data:text/javascript;base64,d2luZG93LmRhdGFMYXllcj13aW5kb3cuZGF0YUxheWVyfHxbXTtmdW5jdGlvbiBndGFnKCl7ZGF0YUxheWVyLnB1c2goYXJndW1lbnRzKX0KZ3RhZygnanMnLG5ldyBEYXRlKCkpO2d0YWcoJ2NvbmZpZycsJ0FXLTQ3MjcyMDQyNycp" defer></script> <script src="https://www.googletagmanager.com/gtag/js?id=AW-800223711" defer data-deferred="1"></script> <script src="data:text/javascript;base64,d2luZG93LmRhdGFMYXllcj13aW5kb3cuZGF0YUxheWVyfHxbXTtmdW5jdGlvbiBndGFnKCl7ZGF0YUxheWVyLnB1c2goYXJndW1lbnRzKX0KZ3RhZygnanMnLG5ldyBEYXRlKCkpO2d0YWcoJ2NvbmZpZycsJ0FXLTgwMDIyMzcxMScp" defer></script> <noscript><style>.woocommerce-product-gallery{ opacity: 1 !important; }</style></noscript><meta name="generator" content="Powered by WPBakery Page Builder - drag and drop page builder for WordPress."/>

<noscript><style type="text/css">.wpb_animate_when_almost_visible { opacity: 1; }</style></noscript>
<script src="data:text/javascript;base64,KGZ1bmN0aW9uKHcsZCxzLGwsaSl7d1tsXT13W2xdfHxbXTt3W2xdLnB1c2goeydndG0uc3RhcnQnOm5ldyBEYXRlKCkuZ2V0VGltZSgpLGV2ZW50OidndG0uanMnfSk7dmFyIGY9ZC5nZXRFbGVtZW50c0J5VGFnTmFtZShzKVswXSxqPWQuY3JlYXRlRWxlbWVudChzKSxkbD1sIT0nZGF0YUxheWVyJz8nJmw9JytsOicnO2ouYXN5bmM9ITA7ai5zcmM9J2h0dHBzOi8vd3d3Lmdvb2dsZXRhZ21hbmFnZXIuY29tL2d0bS5qcz9pZD0nK2krZGw7Zi5wYXJlbnROb2RlLmluc2VydEJlZm9yZShqLGYpfSkod2luZG93LGRvY3VtZW50LCdzY3JpcHQnLCdkYXRhTGF5ZXInLCdHVE0tUDczSzdTUycp" defer></script> </head><body class="wp-singular page-template-default page page-id-7344 wp-theme-ssla theme-ssla woocommerce-no-js has-header-image page-one-column colors-light wpb-js-composer js-comp-ver-5.5.2 vc_responsive"><div id="page" class="wnd-page color-none"><div id="wrapper"><header id="header"><div class="container"><div class="row"><div id="layout-section" class="section header header-01 claim-section cf design-03 wsection-black"><div class="section-fixed"><div class="section-inner"><div class="nav-line initial-state cf"><div class="logo logo-default brandon-grotesque wnd-logo-with-text wnd-image-vector"><div class="logo-content">
<a href="https://www.ssla.co.uk"><div class="embed-content"><div class="embed-content-cell">
<embed id="wnd_LogoBlock_87881_img" type="image/svg+xml" data-src="https://d1di2lzuh97fh2.cloudfront.net/files/3x/3x1/3x1agp.svg?ph=15d144db8f"></div></div><div class="text-content-outer">
<span class="text-content">SSLA</span></div>
</a></div></div><nav id="menu" role="navigation" aria-label="Top Menu"><div class="menu-main-container"><ul id="top-menu" class="level-1"><li id="menu-item-1970" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-home menu-item-1970"><a href="https://www.ssla.co.uk/">Home</a></li><li id="menu-item-42" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-42"><a href="https://www.ssla.co.uk/about-us/">About Us</a></li><li id="menu-item-263" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-263"><a href="https://www.ssla.co.uk/knowledgebase/">Knowledgebase</a></li><li id="menu-item-40" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-40"><a href="https://www.ssla.co.uk/download/">Download</a></li><li id="menu-item-490" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-490"><a href="https://www.ssla.co.uk/buy/">Store</a></li><li id="menu-item-583" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-583"><a href="https://www.ssla.co.uk/faq/">FAQ</a></li><li id="menu-item-619" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-619"><a href="https://www.ssla.co.uk/careers/">Careers</a></li><li id="menu-item-39" class="menu-item menu-item-type-post_type menu-item-object-page menu-item-39"><a href="https://www.ssla.co.uk/contact-us/">Contact Us</a></li></ul></div></nav> <script type="application/javascript">var el=document.getElementById("menu");"undefined"!=typeof el&&(el.style.display="none")</script> <div id="menu-mobile" class="hidden">
<a href="#" id="menu-submit"><span></span>Menu</a></div></div></div></div></div></div></div></header><main id="main" role="main"><div class="section-wrapper cf"><div class="section-wrapper-content cf"><section class="section default-01 design-01 wsection-white"><div class="section-bg"><div class="section-bg-layer"></div><div class="section-bg-layer section-bg-overlay"></div></div><div class="section-inner"><div class="content cf wnd-no-cols"><div><div class="text cf design-01"><div class="container"><div class="vc_row vc_row-fluid boxed"><div class="wpb_column vc_column_container vc_col-sm-12"><div class="vc_column-inner "><div class="wpb_wrapper"><div class="wpb_text_column wpb_content_element " ><div class="wpb_wrapper"><h1 style="text-align: center;"><span style="color: #ff0000;">Long Short Term Memory</span></h1><h3 style="text-align: left;"><span style="color: #000000;">What is Long Short Term Memory?</span></h3><p><span style="font-weight: 400;">Long Short Term Memory (LSTM) networks are an <a href="https://www.ssla.co.uk/">extension</a> of artificial recurrent neural networks (RNN) that are designed to learn sequence (temporal) data and their long-term dependencies more precisely than conventional RNNs. These networks can overcome the problem of vanishing gradients and short-term memory of traditional RNN. It is extensively used in deep learning tasks such as stock market prediction, handwriting recognition, speech recognition, natural language processing and others. These networks can remember short-term memories for a very long time, so they are named as long short-term memory. </span></p><h3 style="text-align: left;"><span style="color: #000000;">Long Short-Term Memory Architecture</span></h3><p><span style="font-weight: 400;">The main components of a classic LSTM <a href="https://www.ssla.co.uk/about-us">architecture</a> are cell state and its regulators. The cell state is the memory unit of the network. The cell state carries information that can be stored in, written to, or read from a previous cell state via gates that open or close. Even information from previous steps can enter the cell state and carry relevant information throughout the processing of the sequence. The control gates are analog in nature and implemented with element-wise multiplication by sigmoid or hyperbolic tangent (tanh) functions. These gates are similar to neural network nodes that decide which information is allowed to enter the cell state. The gates have their weights, and through a recurrent neural network learning process, it will decide which information is relevant to keep or forget during training.</span></p><p><span style="font-weight: 400;"> A single classic Long Short Term Memory unit consists of a cell state and its three gates: an input gate, an output gate and a forget gate, along with other nonlinear functions and pointwise operators. In short, the forget gate decides what is relevant to keep from the prior cell state. The input gate decides what information is relevant to update in the current cell state of the LSTM unit. The output gate determines the present hidden state that will be passed to the next LSTM unit. A pictorial <a href="https://www.ssla.co.uk/referral">representation</a> of a single LSTM unit and its working is given below.</span></p><p><b><img data-lazyloaded="1" src="data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIzMDAiIGhlaWdodD0iMTU4IiB2aWV3Qm94PSIwIDAgMzAwIDE1OCI+PHJlY3Qgd2lkdGg9IjEwMCUiIGhlaWdodD0iMTAwJSIgc3R5bGU9ImZpbGw6I2NmZDRkYjtmaWxsLW9wYWNpdHk6IDAuMTsiLz48L3N2Zz4=" decoding="async" class="alignnone size-medium wp-image-7921" data-src="https://www.ssla.co.uk/wp-content/uploads/2020/08/long-short-term-memory-300x158.png" alt="long short term memory" width="300" height="158" data-srcset="https://www.ssla.co.uk/wp-content/uploads/2020/08/long-short-term-memory-300x158.png 300w, https://www.ssla.co.uk/wp-content/uploads/2020/08/long-short-term-memory-768x404.png 768w, https://www.ssla.co.uk/wp-content/uploads/2020/08/long-short-term-memory-600x316.png 600w, https://www.ssla.co.uk/wp-content/uploads/2020/08/long-short-term-memory.png 864w" data-sizes="(max-width: 300px) 100vw, 300px" /><noscript><img decoding="async" class="alignnone size-medium wp-image-7921" src="https://www.ssla.co.uk/wp-content/uploads/2020/08/long-short-term-memory-300x158.png" alt="long short term memory" width="300" height="158" srcset="https://www.ssla.co.uk/wp-content/uploads/2020/08/long-short-term-memory-300x158.png 300w, https://www.ssla.co.uk/wp-content/uploads/2020/08/long-short-term-memory-768x404.png 768w, https://www.ssla.co.uk/wp-content/uploads/2020/08/long-short-term-memory-600x316.png 600w, https://www.ssla.co.uk/wp-content/uploads/2020/08/long-short-term-memory.png 864w" sizes="(max-width: 300px) 100vw, 300px" /></noscript></b></p><ul><li style="font-weight: 400;"><b>Non-linear functions</b><span style="font-weight: 400;">: Gates contain a non-linear activation function such as sigmoid or tanh. In the sigmoid activation function, the output values vary between 0 to 1 in a non-linear fashion. This activation is helpful to update or forget the data, by multiplying with 1 data can be retained and by multiplying with 0 data is forgotten. Tanh activation is also similar to sigmoid function with output values varying between -1 to 1 and centred at 0. </span></li><li style="font-weight: 400;"><b>Forget gate</b><span style="font-weight: 400;">: The first block represented in the LSTM architecture is the forget gate (f</span><span style="font-weight: 400;">t</span><span style="font-weight: 400;">). The information from the current input (X</span><span style="font-weight: 400;">t</span><span style="font-weight: 400;">) and the previous hidden state (h</span><span style="font-weight: 400;">t</span><span style="font-weight: 400;">) is passed through the sigmoid activation function. If the output value is closer to 0 means forget, and the closer to 1 means to retain. </span></li><li style="font-weight: 400;"><b>Input gate</b><span style="font-weight: 400;">: It works as an input to the cell state. It consists of two parts; first, we pass the previous hidden state (h</span><span style="font-weight: 400;">t</span><span style="font-weight: 400;">) and current input (X</span><span style="font-weight: 400;">t</span><span style="font-weight: 400;">) into a sigmoid function to decide which values will be updated. Then, pass the same two inputs into the tanh activation to regulate the <a href="https://www.ssla.co.uk/buy">network</a>. Finally, multiply the tanh output (C’</span><span style="font-weight: 400;">t</span><span style="font-weight: 400;">) with the sigmoid output (i</span><span style="font-weight: 400;">t</span><span style="font-weight: 400;">) to decide which information is important to update the cell state. </span></li><li style="font-weight: 400;"><b>Cell state</b><span style="font-weight: 400;">: The input from the previous cell state (C</span><span style="font-weight: 400;">t-1</span><span style="font-weight: 400;">) is pointwise multiplied with the forget gate output. If the forget output is 0, then it will discard the previous cell output (C</span><span style="font-weight: 400;">t-1</span><span style="font-weight: 400;">). This output is pointwise added with the input gate output to update the new cell state (C</span><span style="font-weight: 400;">t</span><span style="font-weight: 400;">). The present cell state will become the input to the next LSTM unit. </span></li><li style="font-weight: 400;"><b>Output gate</b><span style="font-weight: 400;">: The hidden state contains information on previous inputs and is used for prediction. The output gate regulates the present hidden state (h</span><span style="font-weight: 400;">t</span><span style="font-weight: 400;">). The previous hidden state (h</span><span style="font-weight: 400;">t-1</span><span style="font-weight: 400;">) and current input (x</span><span style="font-weight: 400;">t</span><span style="font-weight: 400;">) are passed to the sigmoid function. This output is multiplied with the output of the tanh function to obtain the present hidden state. The current state (C</span><span style="font-weight: 400;">t</span><span style="font-weight: 400;">) and present hidden state (h</span><span style="font-weight: 400;">t</span><span style="font-weight: 400;">) are the final outputs from a classic LSTM unit. </span></li></ul><h3 style="text-align: left;"><span style="color: #000000;">Long Short Term Memory Variants</span></h3><p><span style="font-weight: 400;">The LSTM variation is in terms of usage of gates to achieve better performance parameters over the basic LSTM. There are many variants of the LSTM network, and a few prominent ones are listed below. </span></p><ul><li style="font-weight: 400;"><b>Peephole connections</b><span style="font-weight: 400;">: In classic LSTM, the gates determine what to forget, what to add, based only on the previous hidden state and present input, but does not consider the contents of the cell state. Intuitively, it makes sense that the LSTM unit wants to know the memories it already contains before replacing it with a new one. To overcome this problem, in peephole connections, the cell state contents are given as the input to the output gate. This configuration is shown to improve the ability to count and time distances between rare events. </span></li><li style="font-weight: 400;"><b>Gated recurrent unit</b><span style="font-weight: 400;">: This variant combines the gating functions of the input gate and the forget gate into a simple update gate. Further, the cell state and the hidden output are combined into a single hidden state layer, while it also contains an intermediate and internal hidden state. It is a bit simpler than LSTM and due to its simplicity trains a little faster than the classic LSTM. The gated recurrent unit is extensively used for a sequence to sequence learning such as machine translation, music and text generation. However, they are less powerful than classic LSTMs due to their limitations in counting. </span></li><li style="font-weight: 400;"><b>LSTM with attention</b><span style="font-weight: 400;">: The attention means the ability to focus on specific elements in data, and in our case, the attention is on hidden state outputs of LSTM. Google used this variant to achieve a state-of-the-art neural machine translation that powers Google translate.</span></li></ul><h3 style="text-align: left;"><span style="color: #000000;">Applications</span></h3><p><span style="font-weight: 400;">Long Short Term Memory is a kind of artificial neural network and hence needs to be trained with a training dataset prior to its employment in real-world applications. Some of the prominent applications are listed below. </span></p><ul><li style="font-weight: 400;"><span style="font-weight: 400;">Language modelling or text generation</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Speech and handwriting recognition</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Image to text translation or image captioning</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Language translation</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Music and speech synthesis </span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Image generation using attention models</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Video-to-text conversion</span></li><li style="font-weight: 400;"><span style="font-weight: 400;">Protein secondary structure <a href="https://en.wikipedia.org/wiki/Long_short-term_memory">prediction</a></span></li></ul></div></div><div class="vc_btn3-container red-button vc_btn3-inline" >
<a class="vc_general vc_btn3 vc_btn3-size-md vc_btn3-shape-rounded vc_btn3-style-modern vc_btn3-color-danger" href="https://www.ssla.co.uk/contact/" title="">Contact Us</a></div></div></div></div></div></div><div class="container"><div class="vc_row vc_row-fluid boxed"><div class="wpb_column vc_column_container vc_col-sm-12"><div class="vc_column-inner "><div class="wpb_wrapper"></div></div></div></div></div></div></div></div></div></section></div></div></main><div id="contact_footer"><div><h2>Refer our IoT solution and Earn with us</h2><p>Contact us and one of our specialist will call you back</p>
<a href="http://www.ssla.co.uk/referral/" class="button1r">Refer us</a>
<a href="https://www.ssla.co.uk/buy/" class="button3r">IoT Store</a>
<a href="https://www.ssla.co.uk/affiliate-home/affiliate-register/" class="button4r">Affiliate Program</a></div></div><footer id="footer" role="contentinfo"><div class="section-wrapper cf"><div class="section-wrapper-content cf"><div wn-border="top" wn-border-element="footer-line" class="section footer-01 design-01 wsection-gray"><div class="section-bg"><div class="section-bg-layer"></div><div class="section-bg-layer section-bg-overlay"></div></div><div class="section-inner"><div class="footer-line"><div class="footer-texts"><div class="copyright cf"><ul class="socials-footer"><li>
<a href="https://www.facebook.com/ssla.co.uk/" target="_blank"><i class="fa fa-facebook" aria-hidden="true"></i></a></li><li>
<a href="https://www.youtube.com/watch?v=k9OrY2iSQ68&t=2s" target="_blank"><i class="fa fa-youtube-play" aria-hidden="true"></i></a></li><li>
<a href="https://www.linkedin.com/company/ssla-co-uk" target="_blank"><i class="fa fa-linkedin" aria-hidden="true"></i></a></li><li>
<a href="https://twitter.com/ssla_embedded" target="_blank"><i class="fa fa-twitter" aria-hidden="true"></i></a></li><li>
<a href="https://www.quora.com/profile/Nicholas-Lenig" target="_blank"><i class="fa fa-quora" aria-hidden="true"></i></a></li><li>
<a href="https://www.reddit.com/user/nickolas_kd" target="_blank"><i class="fa fa-reddit" aria-hidden="true"></i></a></li></ul><span class="inline-text">
<span>
SSLA, VAT 172825594, Unit 24 Wilford Industrial Estate,Ruddington Lane Nottingham, UK, +447438823590 </span>
<span>
Sierra Software GmbH, Technologieservice für Hard-
und Software Unternehmen,Vorarlberg, Austria, +436765386877 </span>
</span></div><div class="system-footer cf"><div class="sf"></div></div></div><div class="lang-select cf"></div></div></div></div></div></div></footer></div></div><div id="fe_footer"><p style="text-align: center; margin: 0px; padding-top: 20px; color: white;">
© 2013 SSLA, An Engineering solutions company | All rights reserved | sales@ssla.co.uk | <a class="cookielink" href="https://www.ssla.co.uk/cookie-policy/">Cookie Policy</a></p></div> <script type="application/javascript">!function () {
if (0 == document.getElementsByClassName("wnd-cms").length) for (var e = document.getElementsByClassName("column-content"), t = 0; t < e.length; t++) {
var s = e[t].querySelector("div"), n = s.getElementsByClassName("text-content");
void 0 != n[0] && s.firstChild == s.lastChild && "" === n[0].innerText && (e[t].classList ? e[t].classList.add("column-empty") : (e[t].classList ? e[t].classList.contains("column-empty") : new RegExp("\\bcolumn-empty\\b").test(e[t].className)) && (e[t].className += " column-empty"))
}
}()</script> <script type="speculationrules">{"prefetch":[{"source":"document","where":{"and":[{"href_matches":"\/*"},{"not":{"href_matches":["\/wp-*.php","\/wp-admin\/*","\/wp-content\/uploads\/*","\/wp-content\/*","\/wp-content\/plugins\/*","\/wp-content\/themes\/ssla\/*","\/*\\?(.+)"]}},{"not":{"selector_matches":"a[rel~=\"nofollow\"]"}},{"not":{"selector_matches":".no-prefetch, .no-prefetch a"}}]},"eagerness":"conservative"}]}</script> <button type="button" aria-controls="rmp-container-8664" aria-label="Menu Trigger" id="rmp_menu_trigger-8664" class="rmp_menu_trigger rmp-menu-trigger-boring">
<span class="rmp-trigger-box">
<span class="responsive-menu-pro-inner"></span>
</span>
</button><div id="rmp-container-8664" class="rmp-container rmp-container rmp-slide-left"><div id="rmp-menu-title-8664" class="rmp-menu-title">
<span class="rmp-menu-title-link">
<span></span> </span></div><div id="rmp-menu-wrap-8664" class="rmp-menu-wrap"><ul id="rmp-menu-8664" class="rmp-menu" role="menubar" aria-label="Default Menu"><li id="rmp-menu-item-1970" class=" menu-item menu-item-type-post_type menu-item-object-page menu-item-home rmp-menu-item rmp-menu-top-level-item" role="none"><a href="https://www.ssla.co.uk/" class="rmp-menu-item-link" role="menuitem" >Home</a></li><li id="rmp-menu-item-42" class=" menu-item menu-item-type-post_type menu-item-object-page rmp-menu-item rmp-menu-top-level-item" role="none"><a href="https://www.ssla.co.uk/about-us/" class="rmp-menu-item-link" role="menuitem" >About Us</a></li><li id="rmp-menu-item-263" class=" menu-item menu-item-type-post_type menu-item-object-page rmp-menu-item rmp-menu-top-level-item" role="none"><a href="https://www.ssla.co.uk/knowledgebase/" class="rmp-menu-item-link" role="menuitem" >Knowledgebase</a></li><li id="rmp-menu-item-40" class=" menu-item menu-item-type-post_type menu-item-object-page rmp-menu-item rmp-menu-top-level-item" role="none"><a href="https://www.ssla.co.uk/download/" class="rmp-menu-item-link" role="menuitem" >Download</a></li><li id="rmp-menu-item-490" class=" menu-item menu-item-type-post_type menu-item-object-page rmp-menu-item rmp-menu-top-level-item" role="none"><a href="https://www.ssla.co.uk/buy/" class="rmp-menu-item-link" role="menuitem" >Store</a></li><li id="rmp-menu-item-583" class=" menu-item menu-item-type-post_type menu-item-object-page rmp-menu-item rmp-menu-top-level-item" role="none"><a href="https://www.ssla.co.uk/faq/" class="rmp-menu-item-link" role="menuitem" >FAQ</a></li><li id="rmp-menu-item-619" class=" menu-item menu-item-type-post_type menu-item-object-page rmp-menu-item rmp-menu-top-level-item" role="none"><a href="https://www.ssla.co.uk/careers/" class="rmp-menu-item-link" role="menuitem" >Careers</a></li><li id="rmp-menu-item-39" class=" menu-item menu-item-type-post_type menu-item-object-page rmp-menu-item rmp-menu-top-level-item" role="none"><a href="https://www.ssla.co.uk/contact-us/" class="rmp-menu-item-link" role="menuitem" >Contact Us</a></li></ul></div><div id="rmp-search-box-8664" class="rmp-search-box"><form action="https://www.ssla.co.uk/" class="rmp-search-form" role="search">
<input type="search" name="s" title="Search" placeholder="Search" class="rmp-search-box"></form></div><div id="rmp-menu-additional-content-8664" class="rmp-menu-additional-content"></div></div> <script type="text/javascript" src="https://www.ssla.co.uk/wp-content/plugins/litespeed-cache/assets/js/instant_click.min.js" id="litespeed-cache-js"></script> <svg style="position: absolute; width: 0; height: 0; overflow: hidden;" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
<defs>
<symbol id="icon-behance" viewBox="0 0 37 32">
<path class="path1" d="M33 6.054h-9.125v2.214h9.125v-2.214zM28.5 13.661q-1.607 0-2.607 0.938t-1.107 2.545h7.286q-0.321-3.482-3.571-3.482zM28.786 24.107q1.125 0 2.179-0.571t1.357-1.554h3.946q-1.786 5.482-7.625 5.482-3.821 0-6.080-2.357t-2.259-6.196q0-3.714 2.33-6.17t6.009-2.455q2.464 0 4.295 1.214t2.732 3.196 0.902 4.429q0 0.304-0.036 0.839h-11.75q0 1.982 1.027 3.063t2.973 1.080zM4.946 23.214h5.286q3.661 0 3.661-2.982 0-3.214-3.554-3.214h-5.393v6.196zM4.946 13.625h5.018q1.393 0 2.205-0.652t0.813-2.027q0-2.571-3.393-2.571h-4.643v5.25zM0 4.536h10.607q1.554 0 2.768 0.25t2.259 0.848 1.607 1.723 0.563 2.75q0 3.232-3.071 4.696 2.036 0.571 3.071 2.054t1.036 3.643q0 1.339-0.438 2.438t-1.179 1.848-1.759 1.268-2.161 0.75-2.393 0.232h-10.911v-22.5z"></path>
</symbol>
<symbol id="icon-deviantart" viewBox="0 0 18 32">
<path class="path1" d="M18.286 5.411l-5.411 10.393 0.429 0.554h4.982v7.411h-9.054l-0.786 0.536-2.536 4.875-0.536 0.536h-5.375v-5.411l5.411-10.411-0.429-0.536h-4.982v-7.411h9.054l0.786-0.536 2.536-4.875 0.536-0.536h5.375v5.411z"></path>
</symbol>
<symbol id="icon-medium" viewBox="0 0 32 32">
<path class="path1" d="M10.661 7.518v20.946q0 0.446-0.223 0.759t-0.652 0.313q-0.304 0-0.589-0.143l-8.304-4.161q-0.375-0.179-0.634-0.598t-0.259-0.83v-20.357q0-0.357 0.179-0.607t0.518-0.25q0.25 0 0.786 0.268l9.125 4.571q0.054 0.054 0.054 0.089zM11.804 9.321l9.536 15.464-9.536-4.75v-10.714zM32 9.643v18.821q0 0.446-0.25 0.723t-0.679 0.277-0.839-0.232l-7.875-3.929zM31.946 7.5q0 0.054-4.58 7.491t-5.366 8.705l-6.964-11.321 5.786-9.411q0.304-0.5 0.929-0.5 0.25 0 0.464 0.107l9.661 4.821q0.071 0.036 0.071 0.107z"></path>
</symbol>
<symbol id="icon-slideshare" viewBox="0 0 32 32">
<path class="path1" d="M15.589 13.214q0 1.482-1.134 2.545t-2.723 1.063-2.723-1.063-1.134-2.545q0-1.5 1.134-2.554t2.723-1.054 2.723 1.054 1.134 2.554zM24.554 13.214q0 1.482-1.125 2.545t-2.732 1.063q-1.589 0-2.723-1.063t-1.134-2.545q0-1.5 1.134-2.554t2.723-1.054q1.607 0 2.732 1.054t1.125 2.554zM28.571 16.429v-11.911q0-1.554-0.571-2.205t-1.982-0.652h-19.857q-1.482 0-2.009 0.607t-0.527 2.25v12.018q0.768 0.411 1.58 0.714t1.446 0.5 1.446 0.33 1.268 0.196 1.25 0.071 1.045 0.009 1.009-0.036 0.795-0.036q1.214-0.018 1.696 0.482 0.107 0.107 0.179 0.161 0.464 0.446 1.089 0.911 0.125-1.625 2.107-1.554 0.089 0 0.652 0.027t0.768 0.036 0.813 0.018 0.946-0.018 0.973-0.080 1.089-0.152 1.107-0.241 1.196-0.348 1.205-0.482 1.286-0.616zM31.482 16.339q-2.161 2.661-6.643 4.5 1.5 5.089-0.411 8.304-1.179 2.018-3.268 2.643-1.857 0.571-3.25-0.268-1.536-0.911-1.464-2.929l-0.018-5.821v-0.018q-0.143-0.036-0.438-0.107t-0.42-0.089l-0.018 6.036q0.071 2.036-1.482 2.929-1.411 0.839-3.268 0.268-2.089-0.643-3.25-2.679-1.875-3.214-0.393-8.268-4.482-1.839-6.643-4.5-0.446-0.661-0.071-1.125t1.071 0.018q0.054 0.036 0.196 0.125t0.196 0.143v-12.393q0-1.286 0.839-2.196t2.036-0.911h22.446q1.196 0 2.036 0.911t0.839 2.196v12.393l0.375-0.268q0.696-0.482 1.071-0.018t-0.071 1.125z"></path>
</symbol>
<symbol id="icon-snapchat-ghost" viewBox="0 0 30 32">
<path class="path1" d="M15.143 2.286q2.393-0.018 4.295 1.223t2.92 3.438q0.482 1.036 0.482 3.196 0 0.839-0.161 3.411 0.25 0.125 0.5 0.125 0.321 0 0.911-0.241t0.911-0.241q0.518 0 1 0.321t0.482 0.821q0 0.571-0.563 0.964t-1.232 0.563-1.232 0.518-0.563 0.848q0 0.268 0.214 0.768 0.661 1.464 1.83 2.679t2.58 1.804q0.5 0.214 1.429 0.411 0.5 0.107 0.5 0.625 0 1.25-3.911 1.839-0.125 0.196-0.196 0.696t-0.25 0.83-0.589 0.33q-0.357 0-1.107-0.116t-1.143-0.116q-0.661 0-1.107 0.089-0.571 0.089-1.125 0.402t-1.036 0.679-1.036 0.723-1.357 0.598-1.768 0.241q-0.929 0-1.723-0.241t-1.339-0.598-1.027-0.723-1.036-0.679-1.107-0.402q-0.464-0.089-1.125-0.089-0.429 0-1.17 0.134t-1.045 0.134q-0.446 0-0.625-0.33t-0.25-0.848-0.196-0.714q-3.911-0.589-3.911-1.839 0-0.518 0.5-0.625 0.929-0.196 1.429-0.411 1.393-0.571 2.58-1.804t1.83-2.679q0.214-0.5 0.214-0.768 0-0.5-0.563-0.848t-1.241-0.527-1.241-0.563-0.563-0.938q0-0.482 0.464-0.813t0.982-0.33q0.268 0 0.857 0.232t0.946 0.232q0.321 0 0.571-0.125-0.161-2.536-0.161-3.393 0-2.179 0.482-3.214 1.143-2.446 3.071-3.536t4.714-1.125z"></path>
</symbol>
<symbol id="icon-yelp" viewBox="0 0 27 32">
<path class="path1" d="M13.804 23.554v2.268q-0.018 5.214-0.107 5.446-0.214 0.571-0.911 0.714-0.964 0.161-3.241-0.679t-2.902-1.589q-0.232-0.268-0.304-0.643-0.018-0.214 0.071-0.464 0.071-0.179 0.607-0.839t3.232-3.857q0.018 0 1.071-1.25 0.268-0.339 0.705-0.438t0.884 0.063q0.429 0.179 0.67 0.518t0.223 0.75zM11.143 19.071q-0.054 0.982-0.929 1.25l-2.143 0.696q-4.911 1.571-5.214 1.571-0.625-0.036-0.964-0.643-0.214-0.446-0.304-1.339-0.143-1.357 0.018-2.973t0.536-2.223 1-0.571q0.232 0 3.607 1.375 1.25 0.518 2.054 0.839l1.5 0.607q0.411 0.161 0.634 0.545t0.205 0.866zM25.893 24.375q-0.125 0.964-1.634 2.875t-2.42 2.268q-0.661 0.25-1.125-0.125-0.25-0.179-3.286-5.125l-0.839-1.375q-0.25-0.375-0.205-0.821t0.348-0.821q0.625-0.768 1.482-0.464 0.018 0.018 2.125 0.714 3.625 1.179 4.321 1.42t0.839 0.366q0.5 0.393 0.393 1.089zM13.893 13.089q0.089 1.821-0.964 2.179-1.036 0.304-2.036-1.268l-6.75-10.679q-0.143-0.625 0.339-1.107 0.732-0.768 3.705-1.598t4.009-0.563q0.714 0.179 0.875 0.804 0.054 0.321 0.393 5.455t0.429 6.777zM25.714 15.018q0.054 0.696-0.464 1.054-0.268 0.179-5.875 1.536-1.196 0.268-1.625 0.411l0.018-0.036q-0.411 0.107-0.821-0.071t-0.661-0.571q-0.536-0.839 0-1.554 0.018-0.018 1.339-1.821 2.232-3.054 2.679-3.643t0.607-0.696q0.5-0.339 1.161-0.036 0.857 0.411 2.196 2.384t1.446 2.991v0.054z"></path>
</symbol>
<symbol id="icon-vine" viewBox="0 0 27 32">
<path class="path1" d="M26.732 14.768v3.536q-1.804 0.411-3.536 0.411-1.161 2.429-2.955 4.839t-3.241 3.848-2.286 1.902q-1.429 0.804-2.893-0.054-0.5-0.304-1.080-0.777t-1.518-1.491-1.83-2.295-1.92-3.286-1.884-4.357-1.634-5.616-1.259-6.964h5.054q0.464 3.893 1.25 7.116t1.866 5.661 2.17 4.205 2.5 3.482q3.018-3.018 5.125-7.25-2.536-1.286-3.982-3.929t-1.446-5.946q0-3.429 1.857-5.616t5.071-2.188q3.179 0 4.875 1.884t1.696 5.313q0 2.839-1.036 5.107-0.125 0.018-0.348 0.054t-0.821 0.036-1.125-0.107-1.107-0.455-0.902-0.92q0.554-1.839 0.554-3.286 0-1.554-0.518-2.357t-1.411-0.804q-0.946 0-1.518 0.884t-0.571 2.509q0 3.321 1.875 5.241t4.768 1.92q1.107 0 2.161-0.25z"></path>
</symbol>
<symbol id="icon-vk" viewBox="0 0 35 32">
<path class="path1" d="M34.232 9.286q0.411 1.143-2.679 5.25-0.429 0.571-1.161 1.518-1.393 1.786-1.607 2.339-0.304 0.732 0.25 1.446 0.304 0.375 1.446 1.464h0.018l0.071 0.071q2.518 2.339 3.411 3.946 0.054 0.089 0.116 0.223t0.125 0.473-0.009 0.607-0.446 0.491-1.054 0.223l-4.571 0.071q-0.429 0.089-1-0.089t-0.929-0.393l-0.357-0.214q-0.536-0.375-1.25-1.143t-1.223-1.384-1.089-1.036-1.009-0.277q-0.054 0.018-0.143 0.063t-0.304 0.259-0.384 0.527-0.304 0.929-0.116 1.384q0 0.268-0.063 0.491t-0.134 0.33l-0.071 0.089q-0.321 0.339-0.946 0.393h-2.054q-1.268 0.071-2.607-0.295t-2.348-0.946-1.839-1.179-1.259-1.027l-0.446-0.429q-0.179-0.179-0.491-0.536t-1.277-1.625-1.893-2.696-2.188-3.768-2.33-4.857q-0.107-0.286-0.107-0.482t0.054-0.286l0.071-0.107q0.268-0.339 1.018-0.339l4.893-0.036q0.214 0.036 0.411 0.116t0.286 0.152l0.089 0.054q0.286 0.196 0.429 0.571 0.357 0.893 0.821 1.848t0.732 1.455l0.286 0.518q0.518 1.071 1 1.857t0.866 1.223 0.741 0.688 0.607 0.25 0.482-0.089q0.036-0.018 0.089-0.089t0.214-0.393 0.241-0.839 0.17-1.446 0-2.232q-0.036-0.714-0.161-1.304t-0.25-0.821l-0.107-0.214q-0.446-0.607-1.518-0.768-0.232-0.036 0.089-0.429 0.304-0.339 0.679-0.536 0.946-0.464 4.268-0.429 1.464 0.018 2.411 0.232 0.357 0.089 0.598 0.241t0.366 0.429 0.188 0.571 0.063 0.813-0.018 0.982-0.045 1.259-0.027 1.473q0 0.196-0.018 0.75t-0.009 0.857 0.063 0.723 0.205 0.696 0.402 0.438q0.143 0.036 0.304 0.071t0.464-0.196 0.679-0.616 0.929-1.196 1.214-1.92q1.071-1.857 1.911-4.018 0.071-0.179 0.179-0.313t0.196-0.188l0.071-0.054 0.089-0.045t0.232-0.054 0.357-0.009l5.143-0.036q0.696-0.089 1.143 0.045t0.554 0.295z"></path>
</symbol>
<symbol id="icon-search" viewBox="0 0 30 32">
<path class="path1" d="M20.571 14.857q0-3.304-2.348-5.652t-5.652-2.348-5.652 2.348-2.348 5.652 2.348 5.652 5.652 2.348 5.652-2.348 2.348-5.652zM29.714 29.714q0 0.929-0.679 1.607t-1.607 0.679q-0.964 0-1.607-0.679l-6.125-6.107q-3.196 2.214-7.125 2.214-2.554 0-4.884-0.991t-4.018-2.679-2.679-4.018-0.991-4.884 0.991-4.884 2.679-4.018 4.018-2.679 4.884-0.991 4.884 0.991 4.018 2.679 2.679 4.018 0.991 4.884q0 3.929-2.214 7.125l6.125 6.125q0.661 0.661 0.661 1.607z"></path>
</symbol>
<symbol id="icon-envelope-o" viewBox="0 0 32 32">
<path class="path1" d="M29.714 26.857v-13.714q-0.571 0.643-1.232 1.179-4.786 3.679-7.607 6.036-0.911 0.768-1.482 1.196t-1.545 0.866-1.83 0.438h-0.036q-0.857 0-1.83-0.438t-1.545-0.866-1.482-1.196q-2.821-2.357-7.607-6.036-0.661-0.536-1.232-1.179v13.714q0 0.232 0.17 0.402t0.402 0.17h26.286q0.232 0 0.402-0.17t0.17-0.402zM29.714 8.089v-0.438t-0.009-0.232-0.054-0.223-0.098-0.161-0.161-0.134-0.25-0.045h-26.286q-0.232 0-0.402 0.17t-0.17 0.402q0 3 2.625 5.071 3.446 2.714 7.161 5.661 0.107 0.089 0.625 0.527t0.821 0.67 0.795 0.563 0.902 0.491 0.768 0.161h0.036q0.357 0 0.768-0.161t0.902-0.491 0.795-0.563 0.821-0.67 0.625-0.527q3.714-2.946 7.161-5.661 0.964-0.768 1.795-2.063t0.83-2.348zM32 7.429v19.429q0 1.179-0.839 2.018t-2.018 0.839h-26.286q-1.179 0-2.018-0.839t-0.839-2.018v-19.429q0-1.179 0.839-2.018t2.018-0.839h26.286q1.179 0 2.018 0.839t0.839 2.018z"></path>
</symbol>
<symbol id="icon-close" viewBox="0 0 25 32">
<path class="path1" d="M23.179 23.607q0 0.714-0.5 1.214l-2.429 2.429q-0.5 0.5-1.214 0.5t-1.214-0.5l-5.25-5.25-5.25 5.25q-0.5 0.5-1.214 0.5t-1.214-0.5l-2.429-2.429q-0.5-0.5-0.5-1.214t0.5-1.214l5.25-5.25-5.25-5.25q-0.5-0.5-0.5-1.214t0.5-1.214l2.429-2.429q0.5-0.5 1.214-0.5t1.214 0.5l5.25 5.25 5.25-5.25q0.5-0.5 1.214-0.5t1.214 0.5l2.429 2.429q0.5 0.5 0.5 1.214t-0.5 1.214l-5.25 5.25 5.25 5.25q0.5 0.5 0.5 1.214z"></path>
</symbol>
<symbol id="icon-angle-down" viewBox="0 0 21 32">
<path class="path1" d="M19.196 13.143q0 0.232-0.179 0.411l-8.321 8.321q-0.179 0.179-0.411 0.179t-0.411-0.179l-8.321-8.321q-0.179-0.179-0.179-0.411t0.179-0.411l0.893-0.893q0.179-0.179 0.411-0.179t0.411 0.179l7.018 7.018 7.018-7.018q0.179-0.179 0.411-0.179t0.411 0.179l0.893 0.893q0.179 0.179 0.179 0.411z"></path>
</symbol>
<symbol id="icon-folder-open" viewBox="0 0 34 32">
<path class="path1" d="M33.554 17q0 0.554-0.554 1.179l-6 7.071q-0.768 0.911-2.152 1.545t-2.563 0.634h-19.429q-0.607 0-1.080-0.232t-0.473-0.768q0-0.554 0.554-1.179l6-7.071q0.768-0.911 2.152-1.545t2.563-0.634h19.429q0.607 0 1.080 0.232t0.473 0.768zM27.429 10.857v2.857h-14.857q-1.679 0-3.518 0.848t-2.929 2.134l-6.107 7.179q0-0.071-0.009-0.223t-0.009-0.223v-17.143q0-1.643 1.179-2.821t2.821-1.179h5.714q1.643 0 2.821 1.179t1.179 2.821v0.571h9.714q1.643 0 2.821 1.179t1.179 2.821z"></path>
</symbol>
<symbol id="icon-twitter" viewBox="0 0 30 32">
<path class="path1" d="M28.929 7.286q-1.196 1.75-2.893 2.982 0.018 0.25 0.018 0.75 0 2.321-0.679 4.634t-2.063 4.437-3.295 3.759-4.607 2.607-5.768 0.973q-4.839 0-8.857-2.589 0.625 0.071 1.393 0.071 4.018 0 7.161-2.464-1.875-0.036-3.357-1.152t-2.036-2.848q0.589 0.089 1.089 0.089 0.768 0 1.518-0.196-2-0.411-3.313-1.991t-1.313-3.67v-0.071q1.214 0.679 2.607 0.732-1.179-0.786-1.875-2.054t-0.696-2.75q0-1.571 0.786-2.911 2.161 2.661 5.259 4.259t6.634 1.777q-0.143-0.679-0.143-1.321 0-2.393 1.688-4.080t4.080-1.688q2.5 0 4.214 1.821 1.946-0.375 3.661-1.393-0.661 2.054-2.536 3.179 1.661-0.179 3.321-0.893z"></path>
</symbol>
<symbol id="icon-facebook" viewBox="0 0 19 32">
<path class="path1" d="M17.125 0.214v4.714h-2.804q-1.536 0-2.071 0.643t-0.536 1.929v3.375h5.232l-0.696 5.286h-4.536v13.554h-5.464v-13.554h-4.554v-5.286h4.554v-3.893q0-3.321 1.857-5.152t4.946-1.83q2.625 0 4.071 0.214z"></path>
</symbol>
<symbol id="icon-github" viewBox="0 0 27 32">
<path class="path1" d="M13.714 2.286q3.732 0 6.884 1.839t4.991 4.991 1.839 6.884q0 4.482-2.616 8.063t-6.759 4.955q-0.482 0.089-0.714-0.125t-0.232-0.536q0-0.054 0.009-1.366t0.009-2.402q0-1.732-0.929-2.536 1.018-0.107 1.83-0.321t1.679-0.696 1.446-1.188 0.946-1.875 0.366-2.688q0-2.125-1.411-3.679 0.661-1.625-0.143-3.643-0.5-0.161-1.446 0.196t-1.643 0.786l-0.679 0.429q-1.661-0.464-3.429-0.464t-3.429 0.464q-0.286-0.196-0.759-0.482t-1.491-0.688-1.518-0.241q-0.804 2.018-0.143 3.643-1.411 1.554-1.411 3.679 0 1.518 0.366 2.679t0.938 1.875 1.438 1.196 1.679 0.696 1.83 0.321q-0.696 0.643-0.875 1.839-0.375 0.179-0.804 0.268t-1.018 0.089-1.17-0.384-0.991-1.116q-0.339-0.571-0.866-0.929t-0.884-0.429l-0.357-0.054q-0.375 0-0.518 0.080t-0.089 0.205 0.161 0.25 0.232 0.214l0.125 0.089q0.393 0.179 0.777 0.679t0.563 0.911l0.179 0.411q0.232 0.679 0.786 1.098t1.196 0.536 1.241 0.125 0.991-0.063l0.411-0.071q0 0.679 0.009 1.58t0.009 0.973q0 0.321-0.232 0.536t-0.714 0.125q-4.143-1.375-6.759-4.955t-2.616-8.063q0-3.732 1.839-6.884t4.991-4.991 6.884-1.839zM5.196 21.982q0.054-0.125-0.125-0.214-0.179-0.054-0.232 0.036-0.054 0.125 0.125 0.214 0.161 0.107 0.232-0.036zM5.75 22.589q0.125-0.089-0.036-0.286-0.179-0.161-0.286-0.054-0.125 0.089 0.036 0.286 0.179 0.179 0.286 0.054zM6.286 23.393q0.161-0.125 0-0.339-0.143-0.232-0.304-0.107-0.161 0.089 0 0.321t0.304 0.125zM7.036 24.143q0.143-0.143-0.071-0.339-0.214-0.214-0.357-0.054-0.161 0.143 0.071 0.339 0.214 0.214 0.357 0.054zM8.054 24.589q0.054-0.196-0.232-0.286-0.268-0.071-0.339 0.125t0.232 0.268q0.268 0.107 0.339-0.107zM9.179 24.679q0-0.232-0.304-0.196-0.286 0-0.286 0.196 0 0.232 0.304 0.196 0.286 0 0.286-0.196zM10.214 24.5q-0.036-0.196-0.321-0.161-0.286 0.054-0.25 0.268t0.321 0.143 0.25-0.25z"></path>
</symbol>
<symbol id="icon-bars" viewBox="0 0 27 32">
<path class="path1" d="M27.429 24v2.286q0 0.464-0.339 0.804t-0.804 0.339h-25.143q-0.464 0-0.804-0.339t-0.339-0.804v-2.286q0-0.464 0.339-0.804t0.804-0.339h25.143q0.464 0 0.804 0.339t0.339 0.804zM27.429 14.857v2.286q0 0.464-0.339 0.804t-0.804 0.339h-25.143q-0.464 0-0.804-0.339t-0.339-0.804v-2.286q0-0.464 0.339-0.804t0.804-0.339h25.143q0.464 0 0.804 0.339t0.339 0.804zM27.429 5.714v2.286q0 0.464-0.339 0.804t-0.804 0.339h-25.143q-0.464 0-0.804-0.339t-0.339-0.804v-2.286q0-0.464 0.339-0.804t0.804-0.339h25.143q0.464 0 0.804 0.339t0.339 0.804z"></path>
</symbol>
<symbol id="icon-google-plus" viewBox="0 0 41 32">
<path class="path1" d="M25.661 16.304q0 3.714-1.554 6.616t-4.429 4.536-6.589 1.634q-2.661 0-5.089-1.036t-4.179-2.786-2.786-4.179-1.036-5.089 1.036-5.089 2.786-4.179 4.179-2.786 5.089-1.036q5.107 0 8.768 3.429l-3.554 3.411q-2.089-2.018-5.214-2.018-2.196 0-4.063 1.107t-2.955 3.009-1.089 4.152 1.089 4.152 2.955 3.009 4.063 1.107q1.482 0 2.723-0.411t2.045-1.027 1.402-1.402 0.875-1.482 0.384-1.321h-7.429v-4.5h12.357q0.214 1.125 0.214 2.179zM41.143 14.125v3.75h-3.732v3.732h-3.75v-3.732h-3.732v-3.75h3.732v-3.732h3.75v3.732h3.732z"></path>
</symbol>
<symbol id="icon-linkedin" viewBox="0 0 27 32">
<path class="path1" d="M6.232 11.161v17.696h-5.893v-17.696h5.893zM6.607 5.696q0.018 1.304-0.902 2.179t-2.42 0.875h-0.036q-1.464 0-2.357-0.875t-0.893-2.179q0-1.321 0.92-2.188t2.402-0.866 2.375 0.866 0.911 2.188zM27.429 18.714v10.143h-5.875v-9.464q0-1.875-0.723-2.938t-2.259-1.063q-1.125 0-1.884 0.616t-1.134 1.527q-0.196 0.536-0.196 1.446v9.875h-5.875q0.036-7.125 0.036-11.554t-0.018-5.286l-0.018-0.857h5.875v2.571h-0.036q0.357-0.571 0.732-1t1.009-0.929 1.554-0.777 2.045-0.277q3.054 0 4.911 2.027t1.857 5.938z"></path>
</symbol>
<symbol id="icon-quote-right" viewBox="0 0 30 32">
<path class="path1" d="M13.714 5.714v12.571q0 1.857-0.723 3.545t-1.955 2.92-2.92 1.955-3.545 0.723h-1.143q-0.464 0-0.804-0.339t-0.339-0.804v-2.286q0-0.464 0.339-0.804t0.804-0.339h1.143q1.893 0 3.232-1.339t1.339-3.232v-0.571q0-0.714-0.5-1.214t-1.214-0.5h-4q-1.429 0-2.429-1t-1-2.429v-6.857q0-1.429 1-2.429t2.429-1h6.857q1.429 0 2.429 1t1 2.429zM29.714 5.714v12.571q0 1.857-0.723 3.545t-1.955 2.92-2.92 1.955-3.545 0.723h-1.143q-0.464 0-0.804-0.339t-0.339-0.804v-2.286q0-0.464 0.339-0.804t0.804-0.339h1.143q1.893 0 3.232-1.339t1.339-3.232v-0.571q0-0.714-0.5-1.214t-1.214-0.5h-4q-1.429 0-2.429-1t-1-2.429v-6.857q0-1.429 1-2.429t2.429-1h6.857q1.429 0 2.429 1t1 2.429z"></path>
</symbol>
<symbol id="icon-mail-reply" viewBox="0 0 32 32">
<path class="path1" d="M32 20q0 2.964-2.268 8.054-0.054 0.125-0.188 0.429t-0.241 0.536-0.232 0.393q-0.214 0.304-0.5 0.304-0.268 0-0.42-0.179t-0.152-0.446q0-0.161 0.045-0.473t0.045-0.42q0.089-1.214 0.089-2.196 0-1.804-0.313-3.232t-0.866-2.473-1.429-1.804-1.884-1.241-2.375-0.759-2.75-0.384-3.134-0.107h-4v4.571q0 0.464-0.339 0.804t-0.804 0.339-0.804-0.339l-9.143-9.143q-0.339-0.339-0.339-0.804t0.339-0.804l9.143-9.143q0.339-0.339 0.804-0.339t0.804 0.339 0.339 0.804v4.571h4q12.732 0 15.625 7.196 0.946 2.393 0.946 5.946z"></path>
</symbol>
<symbol id="icon-youtube" viewBox="0 0 27 32">
<path class="path1" d="M17.339 22.214v3.768q0 1.196-0.696 1.196-0.411 0-0.804-0.393v-5.375q0.393-0.393 0.804-0.393 0.696 0 0.696 1.196zM23.375 22.232v0.821h-1.607v-0.821q0-1.214 0.804-1.214t0.804 1.214zM6.125 18.339h1.911v-1.679h-5.571v1.679h1.875v10.161h1.786v-10.161zM11.268 28.5h1.589v-8.821h-1.589v6.75q-0.536 0.75-1.018 0.75-0.321 0-0.375-0.375-0.018-0.054-0.018-0.625v-6.5h-1.589v6.982q0 0.875 0.143 1.304 0.214 0.661 1.036 0.661 0.857 0 1.821-1.089v0.964zM18.929 25.857v-3.518q0-1.304-0.161-1.768-0.304-1-1.268-1-0.893 0-1.661 0.964v-3.875h-1.589v11.839h1.589v-0.857q0.804 0.982 1.661 0.982 0.964 0 1.268-0.982 0.161-0.482 0.161-1.786zM24.964 25.679v-0.232h-1.625q0 0.911-0.036 1.089-0.125 0.643-0.714 0.643-0.821 0-0.821-1.232v-1.554h3.196v-1.839q0-1.411-0.482-2.071-0.696-0.911-1.893-0.911-1.214 0-1.911 0.911-0.5 0.661-0.5 2.071v3.089q0 1.411 0.518 2.071 0.696 0.911 1.929 0.911 1.286 0 1.929-0.946 0.321-0.482 0.375-0.964 0.036-0.161 0.036-1.036zM14.107 9.375v-3.75q0-1.232-0.768-1.232t-0.768 1.232v3.75q0 1.25 0.768 1.25t0.768-1.25zM26.946 22.786q0 4.179-0.464 6.25-0.25 1.054-1.036 1.768t-1.821 0.821q-3.286 0.375-9.911 0.375t-9.911-0.375q-1.036-0.107-1.83-0.821t-1.027-1.768q-0.464-2-0.464-6.25 0-4.179 0.464-6.25 0.25-1.054 1.036-1.768t1.839-0.839q3.268-0.357 9.893-0.357t9.911 0.357q1.036 0.125 1.83 0.839t1.027 1.768q0.464 2 0.464 6.25zM9.125 0h1.821l-2.161 7.125v4.839h-1.786v-4.839q-0.25-1.321-1.089-3.786-0.661-1.839-1.161-3.339h1.893l1.268 4.696zM15.732 5.946v3.125q0 1.446-0.5 2.107-0.661 0.911-1.893 0.911-1.196 0-1.875-0.911-0.5-0.679-0.5-2.107v-3.125q0-1.429 0.5-2.089 0.679-0.911 1.875-0.911 1.232 0 1.893 0.911 0.5 0.661 0.5 2.089zM21.714 3.054v8.911h-1.625v-0.982q-0.946 1.107-1.839 1.107-0.821 0-1.054-0.661-0.143-0.429-0.143-1.339v-7.036h1.625v6.554q0 0.589 0.018 0.625 0.054 0.393 0.375 0.393 0.482 0 1.018-0.768v-6.804h1.625z"></path>
</symbol>
<symbol id="icon-dropbox" viewBox="0 0 32 32">
<path class="path1" d="M7.179 12.625l8.821 5.446-6.107 5.089-8.75-5.696zM24.786 22.536v1.929l-8.75 5.232v0.018l-0.018-0.018-0.018 0.018v-0.018l-8.732-5.232v-1.929l2.625 1.714 6.107-5.071v-0.036l0.018 0.018 0.018-0.018v0.036l6.125 5.071zM9.893 2.107l6.107 5.089-8.821 5.429-6.036-4.821zM24.821 12.625l6.036 4.839-8.732 5.696-6.125-5.089zM22.125 2.107l8.732 5.696-6.036 4.821-8.821-5.429z"></path>
</symbol>
<symbol id="icon-instagram" viewBox="0 0 27 32">
<path class="path1" d="M18.286 16q0-1.893-1.339-3.232t-3.232-1.339-3.232 1.339-1.339 3.232 1.339 3.232 3.232 1.339 3.232-1.339 1.339-3.232zM20.75 16q0 2.929-2.054 4.982t-4.982 2.054-4.982-2.054-2.054-4.982 2.054-4.982 4.982-2.054 4.982 2.054 2.054 4.982zM22.679 8.679q0 0.679-0.482 1.161t-1.161 0.482-1.161-0.482-0.482-1.161 0.482-1.161 1.161-0.482 1.161 0.482 0.482 1.161zM13.714 4.75q-0.125 0-1.366-0.009t-1.884 0-1.723 0.054-1.839 0.179-1.277 0.33q-0.893 0.357-1.571 1.036t-1.036 1.571q-0.196 0.518-0.33 1.277t-0.179 1.839-0.054 1.723 0 1.884 0.009 1.366-0.009 1.366 0 1.884 0.054 1.723 0.179 1.839 0.33 1.277q0.357 0.893 1.036 1.571t1.571 1.036q0.518 0.196 1.277 0.33t1.839 0.179 1.723 0.054 1.884 0 1.366-0.009 1.366 0.009 1.884 0 1.723-0.054 1.839-0.179 1.277-0.33q0.893-0.357 1.571-1.036t1.036-1.571q0.196-0.518 0.33-1.277t0.179-1.839 0.054-1.723 0-1.884-0.009-1.366 0.009-1.366 0-1.884-0.054-1.723-0.179-1.839-0.33-1.277q-0.357-0.893-1.036-1.571t-1.571-1.036q-0.518-0.196-1.277-0.33t-1.839-0.179-1.723-0.054-1.884 0-1.366 0.009zM27.429 16q0 4.089-0.089 5.661-0.179 3.714-2.214 5.75t-5.75 2.214q-1.571 0.089-5.661 0.089t-5.661-0.089q-3.714-0.179-5.75-2.214t-2.214-5.75q-0.089-1.571-0.089-5.661t0.089-5.661q0.179-3.714 2.214-5.75t5.75-2.214q1.571-0.089 5.661-0.089t5.661 0.089q3.714 0.179 5.75 2.214t2.214 5.75q0.089 1.571 0.089 5.661z"></path>
</symbol>
<symbol id="icon-flickr" viewBox="0 0 27 32">
<path class="path1" d="M22.286 2.286q2.125 0 3.634 1.509t1.509 3.634v17.143q0 2.125-1.509 3.634t-3.634 1.509h-17.143q-2.125 0-3.634-1.509t-1.509-3.634v-17.143q0-2.125 1.509-3.634t3.634-1.509h17.143zM12.464 16q0-1.571-1.107-2.679t-2.679-1.107-2.679 1.107-1.107 2.679 1.107 2.679 2.679 1.107 2.679-1.107 1.107-2.679zM22.536 16q0-1.571-1.107-2.679t-2.679-1.107-2.679 1.107-1.107 2.679 1.107 2.679 2.679 1.107 2.679-1.107 1.107-2.679z"></path>
</symbol>
<symbol id="icon-tumblr" viewBox="0 0 19 32">
<path class="path1" d="M16.857 23.732l1.429 4.232q-0.411 0.625-1.982 1.179t-3.161 0.571q-1.857 0.036-3.402-0.464t-2.545-1.321-1.696-1.893-0.991-2.143-0.295-2.107v-9.714h-3v-3.839q1.286-0.464 2.304-1.241t1.625-1.607 1.036-1.821 0.607-1.768 0.268-1.58q0.018-0.089 0.080-0.152t0.134-0.063h4.357v7.571h5.946v4.5h-5.964v9.25q0 0.536 0.116 1t0.402 0.938 0.884 0.741 1.455 0.25q1.393-0.036 2.393-0.518z"></path>
</symbol>
<symbol id="icon-dockerhub" viewBox="0 0 24 28">
<path class="path1" d="M1.597 10.257h2.911v2.83H1.597v-2.83zm3.573 0h2.91v2.83H5.17v-2.83zm0-3.627h2.91v2.829H5.17V6.63zm3.57 3.627h2.912v2.83H8.74v-2.83zm0-3.627h2.912v2.829H8.74V6.63zm3.573 3.627h2.911v2.83h-2.911v-2.83zm0-3.627h2.911v2.829h-2.911V6.63zm3.572 3.627h2.911v2.83h-2.911v-2.83zM12.313 3h2.911v2.83h-2.911V3zm-6.65 14.173c-.449 0-.812.354-.812.788 0 .435.364.788.812.788.447 0 .811-.353.811-.788 0-.434-.363-.788-.811-.788"></path>
<path class="path2" d="M28.172 11.721c-.978-.549-2.278-.624-3.388-.306-.136-1.146-.91-2.149-1.83-2.869l-.366-.286-.307.345c-.618.692-.8 1.845-.718 2.73.063.651.273 1.312.685 1.834-.313.183-.668.328-.985.434-.646.212-1.347.33-2.028.33H.083l-.042.429c-.137 1.432.065 2.866.674 4.173l.262.519.03.048c1.8 2.973 4.963 4.225 8.41 4.225 6.672 0 12.174-2.896 14.702-9.015 1.689.085 3.417-.4 4.243-1.968l.211-.4-.401-.223zM5.664 19.458c-.85 0-1.542-.671-1.542-1.497 0-.825.691-1.498 1.541-1.498.849 0 1.54.672 1.54 1.497s-.69 1.498-1.539 1.498z"></path>
</symbol>
<symbol id="icon-dribbble" viewBox="0 0 27 32">
<path class="path1" d="M18.286 26.786q-0.75-4.304-2.5-8.893h-0.036l-0.036 0.018q-0.286 0.107-0.768 0.295t-1.804 0.875-2.446 1.464-2.339 2.045-1.839 2.643l-0.268-0.196q3.286 2.679 7.464 2.679 2.357 0 4.571-0.929zM14.982 15.946q-0.375-0.875-0.946-1.982-5.554 1.661-12.018 1.661-0.018 0.125-0.018 0.375 0 2.214 0.786 4.223t2.214 3.598q0.893-1.589 2.205-2.973t2.545-2.223 2.33-1.446 1.777-0.857l0.661-0.232q0.071-0.018 0.232-0.063t0.232-0.080zM13.071 12.161q-2.143-3.804-4.357-6.75-2.464 1.161-4.179 3.321t-2.286 4.857q5.393 0 10.821-1.429zM25.286 17.857q-3.75-1.071-7.304-0.518 1.554 4.268 2.286 8.375 1.982-1.339 3.304-3.384t1.714-4.473zM10.911 4.625q-0.018 0-0.036 0.018 0.018-0.018 0.036-0.018zM21.446 7.214q-3.304-2.929-7.732-2.929-1.357 0-2.768 0.339 2.339 3.036 4.393 6.821 1.232-0.464 2.321-1.080t1.723-1.098 1.17-1.018 0.67-0.723zM25.429 15.875q-0.054-4.143-2.661-7.321l-0.018 0.018q-0.161 0.214-0.339 0.438t-0.777 0.795-1.268 1.080-1.786 1.161-2.348 1.152q0.446 0.946 0.786 1.696 0.036 0.107 0.116 0.313t0.134 0.295q0.643-0.089 1.33-0.125t1.313-0.036 1.232 0.027 1.143 0.071 1.009 0.098 0.857 0.116 0.652 0.107 0.446 0.080zM27.429 16q0 3.732-1.839 6.884t-4.991 4.991-6.884 1.839-6.884-1.839-4.991-4.991-1.839-6.884 1.839-6.884 4.991-4.991 6.884-1.839 6.884 1.839 4.991 4.991 1.839 6.884z"></path>
</symbol>
<symbol id="icon-skype" viewBox="0 0 27 32">
<path class="path1" d="M20.946 18.982q0-0.893-0.348-1.634t-0.866-1.223-1.304-0.875-1.473-0.607-1.563-0.411l-1.857-0.429q-0.536-0.125-0.786-0.188t-0.625-0.205-0.536-0.286-0.295-0.375-0.134-0.536q0-1.375 2.571-1.375 0.768 0 1.375 0.214t0.964 0.509 0.679 0.598 0.714 0.518 0.857 0.214q0.839 0 1.348-0.571t0.509-1.375q0-0.982-1-1.777t-2.536-1.205-3.25-0.411q-1.214 0-2.357 0.277t-2.134 0.839-1.589 1.554-0.598 2.295q0 1.089 0.339 1.902t1 1.348 1.429 0.866 1.839 0.58l2.607 0.643q1.607 0.393 2 0.643 0.571 0.357 0.571 1.071 0 0.696-0.714 1.152t-1.875 0.455q-0.911 0-1.634-0.286t-1.161-0.688-0.813-0.804-0.821-0.688-0.964-0.286q-0.893 0-1.348 0.536t-0.455 1.339q0 1.643 2.179 2.813t5.196 1.17q1.304 0 2.5-0.33t2.188-0.955 1.58-1.67 0.589-2.348zM27.429 22.857q0 2.839-2.009 4.848t-4.848 2.009q-2.321 0-4.179-1.429-1.375 0.286-2.679 0.286-2.554 0-4.884-0.991t-4.018-2.679-2.679-4.018-0.991-4.884q0-1.304 0.286-2.679-1.429-1.857-1.429-4.179 0-2.839 2.009-4.848t4.848-2.009q2.321 0 4.179 1.429 1.375-0.286 2.679-0.286 2.554 0 4.884 0.991t4.018 2.679 2.679 4.018 0.991 4.884q0 1.304-0.286 2.679 1.429 1.857 1.429 4.179z"></path>
</symbol>
<symbol id="icon-foursquare" viewBox="0 0 23 32">
<path class="path1" d="M17.857 7.75l0.661-3.464q0.089-0.411-0.161-0.714t-0.625-0.304h-12.714q-0.411 0-0.688 0.304t-0.277 0.661v19.661q0 0.125 0.107 0.018l5.196-6.286q0.411-0.464 0.679-0.598t0.857-0.134h4.268q0.393 0 0.661-0.259t0.321-0.527q0.429-2.321 0.661-3.411 0.071-0.375-0.205-0.714t-0.652-0.339h-5.25q-0.518 0-0.857-0.339t-0.339-0.857v-0.75q0-0.518 0.339-0.848t0.857-0.33h6.179q0.321 0 0.625-0.241t0.357-0.527zM21.911 3.786q-0.268 1.304-0.955 4.759t-1.241 6.25-0.625 3.098q-0.107 0.393-0.161 0.58t-0.25 0.58-0.438 0.589-0.688 0.375-1.036 0.179h-4.839q-0.232 0-0.393 0.179-0.143 0.161-7.607 8.821-0.393 0.446-1.045 0.509t-0.866-0.098q-0.982-0.393-0.982-1.75v-25.179q0-0.982 0.679-1.83t2.143-0.848h15.857q1.696 0 2.268 0.946t0.179 2.839zM21.911 3.786l-2.821 14.107q0.071-0.304 0.625-3.098t1.241-6.25 0.955-4.759z"></path>
</symbol>
<symbol id="icon-wordpress" viewBox="0 0 32 32">
<path class="path1" d="M2.268 16q0-2.911 1.196-5.589l6.554 17.946q-3.5-1.696-5.625-5.018t-2.125-7.339zM25.268 15.304q0 0.339-0.045 0.688t-0.179 0.884-0.205 0.786-0.313 1.054-0.313 1.036l-1.357 4.571-4.964-14.75q0.821-0.054 1.571-0.143 0.339-0.036 0.464-0.33t-0.045-0.554-0.509-0.241l-3.661 0.179q-1.339-0.018-3.607-0.179-0.214-0.018-0.366 0.089t-0.205 0.268-0.027 0.33 0.161 0.295 0.348 0.143l1.429 0.143 2.143 5.857-3 9-5-14.857q0.821-0.054 1.571-0.143 0.339-0.036 0.464-0.33t-0.045-0.554-0.509-0.241l-3.661 0.179q-0.125 0-0.411-0.009t-0.464-0.009q1.875-2.857 4.902-4.527t6.563-1.67q2.625 0 5.009 0.946t4.259 2.661h-0.179q-0.982 0-1.643 0.723t-0.661 1.705q0 0.214 0.036 0.429t0.071 0.384 0.143 0.411 0.161 0.375 0.214 0.402 0.223 0.375 0.259 0.429 0.25 0.411q1.125 1.911 1.125 3.786zM16.232 17.196l4.232 11.554q0.018 0.107 0.089 0.196-2.25 0.786-4.554 0.786-2 0-3.875-0.571zM28.036 9.411q1.696 3.107 1.696 6.589 0 3.732-1.857 6.884t-4.982 4.973l4.196-12.107q1.054-3.018 1.054-4.929 0-0.75-0.107-1.411zM16 0q3.25 0 6.214 1.268t5.107 3.411 3.411 5.107 1.268 6.214-1.268 6.214-3.411 5.107-5.107 3.411-6.214 1.268-6.214-1.268-5.107-3.411-3.411-5.107-1.268-6.214 1.268-6.214 3.411-5.107 5.107-3.411 6.214-1.268zM16 31.268q3.089 0 5.92-1.214t4.875-3.259 3.259-4.875 1.214-5.92-1.214-5.92-3.259-4.875-4.875-3.259-5.92-1.214-5.92 1.214-4.875 3.259-3.259 4.875-1.214 5.92 1.214 5.92 3.259 4.875 4.875 3.259 5.92 1.214z"></path>
</symbol>
<symbol id="icon-stumbleupon" viewBox="0 0 34 32">
<path class="path1" d="M18.964 12.714v-2.107q0-0.75-0.536-1.286t-1.286-0.536-1.286 0.536-0.536 1.286v10.929q0 3.125-2.25 5.339t-5.411 2.214q-3.179 0-5.42-2.241t-2.241-5.42v-4.75h5.857v4.679q0 0.768 0.536 1.295t1.286 0.527 1.286-0.527 0.536-1.295v-11.071q0-3.054 2.259-5.214t5.384-2.161q3.143 0 5.393 2.179t2.25 5.25v2.429l-3.482 1.036zM28.429 16.679h5.857v4.75q0 3.179-2.241 5.42t-5.42 2.241q-3.161 0-5.411-2.223t-2.25-5.366v-4.786l2.339 1.089 3.482-1.036v4.821q0 0.75 0.536 1.277t1.286 0.527 1.286-0.527 0.536-1.277v-4.911z"></path>
</symbol>
<symbol id="icon-digg" viewBox="0 0 37 32">
<path class="path1" d="M5.857 5.036h3.643v17.554h-9.5v-12.446h5.857v-5.107zM5.857 19.661v-6.589h-2.196v6.589h2.196zM10.964 10.143v12.446h3.661v-12.446h-3.661zM10.964 5.036v3.643h3.661v-3.643h-3.661zM16.089 10.143h9.518v16.821h-9.518v-2.911h5.857v-1.464h-5.857v-12.446zM21.946 19.661v-6.589h-2.196v6.589h2.196zM27.071 10.143h9.5v16.821h-9.5v-2.911h5.839v-1.464h-5.839v-12.446zM32.911 19.661v-6.589h-2.196v6.589h2.196z"></path>
</symbol>
<symbol id="icon-spotify" viewBox="0 0 27 32">
<path class="path1" d="M20.125 21.607q0-0.571-0.536-0.911-3.446-2.054-7.982-2.054-2.375 0-5.125 0.607-0.75 0.161-0.75 0.929 0 0.357 0.241 0.616t0.634 0.259q0.089 0 0.661-0.143 2.357-0.482 4.339-0.482 4.036 0 7.089 1.839 0.339 0.196 0.589 0.196 0.339 0 0.589-0.241t0.25-0.616zM21.839 17.768q0-0.714-0.625-1.089-4.232-2.518-9.786-2.518-2.732 0-5.411 0.75-0.857 0.232-0.857 1.143 0 0.446 0.313 0.759t0.759 0.313q0.125 0 0.661-0.143 2.179-0.589 4.482-0.589 4.982 0 8.714 2.214 0.429 0.232 0.679 0.232 0.446 0 0.759-0.313t0.313-0.759zM23.768 13.339q0-0.839-0.714-1.25-2.25-1.304-5.232-1.973t-6.125-0.67q-3.643 0-6.5 0.839-0.411 0.125-0.688 0.455t-0.277 0.866q0 0.554 0.366 0.929t0.92 0.375q0.196 0 0.714-0.143 2.375-0.661 5.482-0.661 2.839 0 5.527 0.607t4.527 1.696q0.375 0.214 0.714 0.214 0.518 0 0.902-0.366t0.384-0.92zM27.429 16q0 3.732-1.839 6.884t-4.991 4.991-6.884 1.839-6.884-1.839-4.991-4.991-1.839-6.884 1.839-6.884 4.991-4.991 6.884-1.839 6.884 1.839 4.991 4.991 1.839 6.884z"></path>
</symbol>
<symbol id="icon-soundcloud" viewBox="0 0 41 32">
<path class="path1" d="M14 24.5l0.286-4.304-0.286-9.339q-0.018-0.179-0.134-0.304t-0.295-0.125q-0.161 0-0.286 0.125t-0.125 0.304l-0.25 9.339 0.25 4.304q0.018 0.179 0.134 0.295t0.277 0.116q0.393 0 0.429-0.411zM19.286 23.982l0.196-3.768-0.214-10.464q0-0.286-0.232-0.429-0.143-0.089-0.286-0.089t-0.286 0.089q-0.232 0.143-0.232 0.429l-0.018 0.107-0.179 10.339q0 0.018 0.196 4.214v0.018q0 0.179 0.107 0.304 0.161 0.196 0.411 0.196 0.196 0 0.357-0.161 0.161-0.125 0.161-0.357zM0.625 17.911l0.357 2.286-0.357 2.25q-0.036 0.161-0.161 0.161t-0.161-0.161l-0.304-2.25 0.304-2.286q0.036-0.161 0.161-0.161t0.161 0.161zM2.161 16.5l0.464 3.696-0.464 3.625q-0.036 0.161-0.179 0.161-0.161 0-0.161-0.179l-0.411-3.607 0.411-3.696q0-0.161 0.161-0.161 0.143 0 0.179 0.161zM3.804 15.821l0.446 4.375-0.446 4.232q0 0.196-0.196 0.196-0.179 0-0.214-0.196l-0.375-4.232 0.375-4.375q0.036-0.214 0.214-0.214 0.196 0 0.196 0.214zM5.482 15.696l0.411 4.5-0.411 4.357q-0.036 0.232-0.25 0.232-0.232 0-0.232-0.232l-0.375-4.357 0.375-4.5q0-0.232 0.232-0.232 0.214 0 0.25 0.232zM7.161 16.018l0.375 4.179-0.375 4.393q-0.036 0.286-0.286 0.286-0.107 0-0.188-0.080t-0.080-0.205l-0.357-4.393 0.357-4.179q0-0.107 0.080-0.188t0.188-0.080q0.25 0 0.286 0.268zM8.839 13.411l0.375 6.786-0.375 4.393q0 0.125-0.089 0.223t-0.214 0.098q-0.286 0-0.321-0.321l-0.321-4.393 0.321-6.786q0.036-0.321 0.321-0.321 0.125 0 0.214 0.098t0.089 0.223zM10.518 11.875l0.339 8.357-0.339 4.357q0 0.143-0.098 0.241t-0.241 0.098q-0.321 0-0.357-0.339l-0.286-4.357 0.286-8.357q0.036-0.339 0.357-0.339 0.143 0 0.241 0.098t0.098 0.241zM12.268 11.161l0.321 9.036-0.321 4.321q-0.036 0.375-0.393 0.375-0.339 0-0.375-0.375l-0.286-4.321 0.286-9.036q0-0.161 0.116-0.277t0.259-0.116q0.161 0 0.268 0.116t0.125 0.277zM19.268 24.411v0 0zM15.732 11.089l0.268 9.107-0.268 4.268q0 0.179-0.134 0.313t-0.313 0.134-0.304-0.125-0.143-0.321l-0.25-4.268 0.25-9.107q0-0.196 0.134-0.321t0.313-0.125 0.313 0.125 0.134 0.321zM17.5 11.429l0.25 8.786-0.25 4.214q0 0.196-0.143 0.339t-0.339 0.143-0.339-0.143-0.161-0.339l-0.214-4.214 0.214-8.786q0.018-0.214 0.161-0.357t0.339-0.143 0.33 0.143 0.152 0.357zM21.286 20.214l-0.25 4.125q0 0.232-0.161 0.393t-0.393 0.161-0.393-0.161-0.179-0.393l-0.107-2.036-0.107-2.089 0.214-11.357v-0.054q0.036-0.268 0.214-0.429 0.161-0.125 0.357-0.125 0.143 0 0.268 0.089 0.25 0.143 0.286 0.464zM41.143 19.875q0 2.089-1.482 3.563t-3.571 1.473h-14.036q-0.232-0.036-0.393-0.196t-0.161-0.393v-16.054q0-0.411 0.5-0.589 1.518-0.607 3.232-0.607 3.482 0 6.036 2.348t2.857 5.777q0.946-0.393 1.964-0.393 2.089 0 3.571 1.482t1.482 3.589z"></path>
</symbol>
<symbol id="icon-codepen" viewBox="0 0 32 32">
<path class="path1" d="M3.857 20.875l10.768 7.179v-6.411l-5.964-3.982zM2.75 18.304l3.446-2.304-3.446-2.304v4.607zM17.375 28.054l10.768-7.179-4.804-3.214-5.964 3.982v6.411zM16 19.25l4.857-3.25-4.857-3.25-4.857 3.25zM8.661 14.339l5.964-3.982v-6.411l-10.768 7.179zM25.804 16l3.446 2.304v-4.607zM23.339 14.339l4.804-3.214-10.768-7.179v6.411zM32 11.125v9.75q0 0.732-0.607 1.143l-14.625 9.75q-0.375 0.232-0.768 0.232t-0.768-0.232l-14.625-9.75q-0.607-0.411-0.607-1.143v-9.75q0-0.732 0.607-1.143l14.625-9.75q0.375-0.232 0.768-0.232t0.768 0.232l14.625 9.75q0.607 0.411 0.607 1.143z"></path>
</symbol>
<symbol id="icon-twitch" viewBox="0 0 32 32">
<path class="path1" d="M16 7.75v7.75h-2.589v-7.75h2.589zM23.107 7.75v7.75h-2.589v-7.75h2.589zM23.107 21.321l4.518-4.536v-14.196h-21.321v18.732h5.821v3.875l3.875-3.875h7.107zM30.214 0v18.089l-7.75 7.75h-5.821l-3.875 3.875h-3.875v-3.875h-7.107v-20.679l1.946-5.161h26.482z"></path>
</symbol>
<symbol id="icon-meanpath" viewBox="0 0 27 32">
<path class="path1" d="M23.411 15.036v2.036q0 0.429-0.241 0.679t-0.67 0.25h-3.607q-0.429 0-0.679-0.25t-0.25-0.679v-2.036q0-0.429 0.25-0.679t0.679-0.25h3.607q0.429 0 0.67 0.25t0.241 0.679zM14.661 19.143v-4.464q0-0.946-0.58-1.527t-1.527-0.58h-2.375q-1.214 0-1.714 0.929-0.5-0.929-1.714-0.929h-2.321q-0.946 0-1.527 0.58t-0.58 1.527v4.464q0 0.393 0.375 0.393h0.982q0.393 0 0.393-0.393v-4.107q0-0.429 0.241-0.679t0.688-0.25h1.679q0.429 0 0.679 0.25t0.25 0.679v4.107q0 0.393 0.375 0.393h0.964q0.393 0 0.393-0.393v-4.107q0-0.429 0.25-0.679t0.679-0.25h1.732q0.429 0 0.67 0.25t0.241 0.679v4.107q0 0.393 0.393 0.393h0.982q0.375 0 0.375-0.393zM25.179 17.429v-2.75q0-0.946-0.589-1.527t-1.536-0.58h-4.714q-0.946 0-1.536 0.58t-0.589 1.527v7.321q0 0.375 0.393 0.375h0.982q0.375 0 0.375-0.375v-3.214q0.554 0.75 1.679 0.75h3.411q0.946 0 1.536-0.58t0.589-1.527zM27.429 6.429v19.143q0 1.714-1.214 2.929t-2.929 1.214h-19.143q-1.714 0-2.929-1.214t-1.214-2.929v-19.143q0-1.714 1.214-2.929t2.929-1.214h19.143q1.714 0 2.929 1.214t1.214 2.929z"></path>
</symbol>
<symbol id="icon-pinterest-p" viewBox="0 0 23 32">
<path class="path1" d="M0 10.661q0-1.929 0.67-3.634t1.848-2.973 2.714-2.196 3.304-1.393 3.607-0.464q2.821 0 5.25 1.188t3.946 3.455 1.518 5.125q0 1.714-0.339 3.357t-1.071 3.161-1.786 2.67-2.589 1.839-3.375 0.688q-1.214 0-2.411-0.571t-1.714-1.571q-0.179 0.696-0.5 2.009t-0.42 1.696-0.366 1.268-0.464 1.268-0.571 1.116-0.821 1.384-1.107 1.545l-0.25 0.089-0.161-0.179q-0.268-2.804-0.268-3.357 0-1.643 0.384-3.688t1.188-5.134 0.929-3.625q-0.571-1.161-0.571-3.018 0-1.482 0.929-2.786t2.357-1.304q1.089 0 1.696 0.723t0.607 1.83q0 1.179-0.786 3.411t-0.786 3.339q0 1.125 0.804 1.866t1.946 0.741q0.982 0 1.821-0.446t1.402-1.214 1-1.696 0.679-1.973 0.357-1.982 0.116-1.777q0-3.089-1.955-4.813t-5.098-1.723q-3.571 0-5.964 2.313t-2.393 5.866q0 0.786 0.223 1.518t0.482 1.161 0.482 0.813 0.223 0.545q0 0.5-0.268 1.304t-0.661 0.804q-0.036 0-0.304-0.054-0.911-0.268-1.616-1t-1.089-1.688-0.58-1.929-0.196-1.902z"></path>
</symbol>
<symbol id="icon-periscope" viewBox="0 0 24 28">
<path class="path1" d="M12.285,1C6.696,1,2.277,5.643,2.277,11.243c0,5.851,7.77,14.578,10.007,14.578c1.959,0,9.729-8.728,9.729-14.578 C22.015,5.643,17.596,1,12.285,1z M12.317,16.551c-3.473,0-6.152-2.611-6.152-5.664c0-1.292,0.39-2.472,1.065-3.438 c0.206,1.084,1.18,1.906,2.352,1.906c1.322,0,2.393-1.043,2.393-2.333c0-0.832-0.447-1.561-1.119-1.975 c0.467-0.105,0.955-0.161,1.46-0.161c3.133,0,5.81,2.611,5.81,5.998C18.126,13.94,15.449,16.551,12.317,16.551z"></path>
</symbol>
<symbol id="icon-get-pocket" viewBox="0 0 31 32">
<path class="path1" d="M27.946 2.286q1.161 0 1.964 0.813t0.804 1.973v9.268q0 3.143-1.214 6t-3.259 4.911-4.893 3.259-5.973 1.205q-3.143 0-5.991-1.205t-4.902-3.259-3.268-4.911-1.214-6v-9.268q0-1.143 0.821-1.964t1.964-0.821h25.161zM15.375 21.286q0.839 0 1.464-0.589l7.214-6.929q0.661-0.625 0.661-1.518 0-0.875-0.616-1.491t-1.491-0.616q-0.839 0-1.464 0.589l-5.768 5.536-5.768-5.536q-0.625-0.589-1.446-0.589-0.875 0-1.491 0.616t-0.616 1.491q0 0.911 0.643 1.518l7.232 6.929q0.589 0.589 1.446 0.589z"></path>
</symbol>
<symbol id="icon-vimeo" viewBox="0 0 32 32">
<path class="path1" d="M30.518 9.25q-0.179 4.214-5.929 11.625-5.946 7.696-10.036 7.696-2.536 0-4.286-4.696-0.786-2.857-2.357-8.607-1.286-4.679-2.804-4.679-0.321 0-2.268 1.357l-1.375-1.75q0.429-0.375 1.929-1.723t2.321-2.063q2.786-2.464 4.304-2.607 1.696-0.161 2.732 0.991t1.446 3.634q0.786 5.125 1.179 6.661 0.982 4.446 2.143 4.446 0.911 0 2.75-2.875 1.804-2.875 1.946-4.393 0.232-2.482-1.946-2.482-1.018 0-2.161 0.464 2.143-7.018 8.196-6.821 4.482 0.143 4.214 5.821z"></path>
</symbol>
<symbol id="icon-reddit-alien" viewBox="0 0 32 32">
<path class="path1" d="M32 15.107q0 1.036-0.527 1.884t-1.42 1.295q0.214 0.821 0.214 1.714 0 2.768-1.902 5.125t-5.188 3.723-7.143 1.366-7.134-1.366-5.179-3.723-1.902-5.125q0-0.839 0.196-1.679-0.911-0.446-1.464-1.313t-0.554-1.902q0-1.464 1.036-2.509t2.518-1.045q1.518 0 2.589 1.125 3.893-2.714 9.196-2.893l2.071-9.304q0.054-0.232 0.268-0.375t0.464-0.089l6.589 1.446q0.321-0.661 0.964-1.063t1.411-0.402q1.107 0 1.893 0.777t0.786 1.884-0.786 1.893-1.893 0.786-1.884-0.777-0.777-1.884l-5.964-1.321-1.857 8.429q5.357 0.161 9.268 2.857 1.036-1.089 2.554-1.089 1.482 0 2.518 1.045t1.036 2.509zM7.464 18.661q0 1.107 0.777 1.893t1.884 0.786 1.893-0.786 0.786-1.893-0.786-1.884-1.893-0.777q-1.089 0-1.875 0.786t-0.786 1.875zM21.929 25q0.196-0.196 0.196-0.464t-0.196-0.464q-0.179-0.179-0.446-0.179t-0.464 0.179q-0.732 0.75-2.161 1.107t-2.857 0.357-2.857-0.357-2.161-1.107q-0.196-0.179-0.464-0.179t-0.446 0.179q-0.196 0.179-0.196 0.455t0.196 0.473q0.768 0.768 2.116 1.214t2.188 0.527 1.625 0.080 1.625-0.080 2.188-0.527 2.116-1.214zM21.875 21.339q1.107 0 1.884-0.786t0.777-1.893q0-1.089-0.786-1.875t-1.875-0.786q-1.107 0-1.893 0.777t-0.786 1.884 0.786 1.893 1.893 0.786z"></path>
</symbol>
<symbol id="icon-hashtag" viewBox="0 0 32 32">
<path class="path1" d="M17.696 18.286l1.143-4.571h-4.536l-1.143 4.571h4.536zM31.411 9.286l-1 4q-0.125 0.429-0.554 0.429h-5.839l-1.143 4.571h5.554q0.268 0 0.446 0.214 0.179 0.25 0.107 0.5l-1 4q-0.089 0.429-0.554 0.429h-5.839l-1.446 5.857q-0.125 0.429-0.554 0.429h-4q-0.286 0-0.464-0.214-0.161-0.214-0.107-0.5l1.393-5.571h-4.536l-1.446 5.857q-0.125 0.429-0.554 0.429h-4.018q-0.268 0-0.446-0.214-0.161-0.214-0.107-0.5l1.393-5.571h-5.554q-0.268 0-0.446-0.214-0.161-0.214-0.107-0.5l1-4q0.125-0.429 0.554-0.429h5.839l1.143-4.571h-5.554q-0.268 0-0.446-0.214-0.179-0.25-0.107-0.5l1-4q0.089-0.429 0.554-0.429h5.839l1.446-5.857q0.125-0.429 0.571-0.429h4q0.268 0 0.446 0.214 0.161 0.214 0.107 0.5l-1.393 5.571h4.536l1.446-5.857q0.125-0.429 0.571-0.429h4q0.268 0 0.446 0.214 0.161 0.214 0.107 0.5l-1.393 5.571h5.554q0.268 0 0.446 0.214 0.161 0.214 0.107 0.5z"></path>
</symbol>
<symbol id="icon-chain" viewBox="0 0 30 32">
<path class="path1" d="M26 21.714q0-0.714-0.5-1.214l-3.714-3.714q-0.5-0.5-1.214-0.5-0.75 0-1.286 0.571 0.054 0.054 0.339 0.33t0.384 0.384 0.268 0.339 0.232 0.455 0.063 0.491q0 0.714-0.5 1.214t-1.214 0.5q-0.268 0-0.491-0.063t-0.455-0.232-0.339-0.268-0.384-0.384-0.33-0.339q-0.589 0.554-0.589 1.304 0 0.714 0.5 1.214l3.679 3.696q0.482 0.482 1.214 0.482 0.714 0 1.214-0.464l2.625-2.607q0.5-0.5 0.5-1.196zM13.446 9.125q0-0.714-0.5-1.214l-3.679-3.696q-0.5-0.5-1.214-0.5-0.696 0-1.214 0.482l-2.625 2.607q-0.5 0.5-0.5 1.196 0 0.714 0.5 1.214l3.714 3.714q0.482 0.482 1.214 0.482 0.75 0 1.286-0.554-0.054-0.054-0.339-0.33t-0.384-0.384-0.268-0.339-0.232-0.455-0.063-0.491q0-0.714 0.5-1.214t1.214-0.5q0.268 0 0.491 0.063t0.455 0.232 0.339 0.268 0.384 0.384 0.33 0.339q0.589-0.554 0.589-1.304zM29.429 21.714q0 2.143-1.518 3.625l-2.625 2.607q-1.482 1.482-3.625 1.482-2.161 0-3.643-1.518l-3.679-3.696q-1.482-1.482-1.482-3.625 0-2.196 1.571-3.732l-1.571-1.571q-1.536 1.571-3.714 1.571-2.143 0-3.643-1.5l-3.714-3.714q-1.5-1.5-1.5-3.643t1.518-3.625l2.625-2.607q1.482-1.482 3.625-1.482 2.161 0 3.643 1.518l3.679 3.696q1.482 1.482 1.482 3.625 0 2.196-1.571 3.732l1.571 1.571q1.536-1.571 3.714-1.571 2.143 0 3.643 1.5l3.714 3.714q1.5 1.5 1.5 3.643z"></path>
</symbol>
<symbol id="icon-thumb-tack" viewBox="0 0 21 32">
<path class="path1" d="M8.571 15.429v-8q0-0.25-0.161-0.411t-0.411-0.161-0.411 0.161-0.161 0.411v8q0 0.25 0.161 0.411t0.411 0.161 0.411-0.161 0.161-0.411zM20.571 21.714q0 0.464-0.339 0.804t-0.804 0.339h-7.661l-0.911 8.625q-0.036 0.214-0.188 0.366t-0.366 0.152h-0.018q-0.482 0-0.571-0.482l-1.357-8.661h-7.214q-0.464 0-0.804-0.339t-0.339-0.804q0-2.196 1.402-3.955t3.17-1.759v-9.143q-0.929 0-1.607-0.679t-0.679-1.607 0.679-1.607 1.607-0.679h11.429q0.929 0 1.607 0.679t0.679 1.607-0.679 1.607-1.607 0.679v9.143q1.768 0 3.17 1.759t1.402 3.955z"></path>
</symbol>
<symbol id="icon-arrow-left" viewBox="0 0 43 32">
<path class="path1" d="M42.311 14.044c-0.178-0.178-0.533-0.356-0.711-0.356h-33.778l10.311-10.489c0.178-0.178 0.356-0.533 0.356-0.711 0-0.356-0.178-0.533-0.356-0.711l-1.6-1.422c-0.356-0.178-0.533-0.356-0.889-0.356s-0.533 0.178-0.711 0.356l-14.578 14.933c-0.178 0.178-0.356 0.533-0.356 0.711s0.178 0.533 0.356 0.711l14.756 14.933c0 0.178 0.356 0.356 0.533 0.356s0.533-0.178 0.711-0.356l1.6-1.6c0.178-0.178 0.356-0.533 0.356-0.711s-0.178-0.533-0.356-0.711l-10.311-10.489h33.778c0.178 0 0.533-0.178 0.711-0.356 0.356-0.178 0.533-0.356 0.533-0.711v-2.133c0-0.356-0.178-0.711-0.356-0.889z"></path>
</symbol>
<symbol id="icon-arrow-right" viewBox="0 0 43 32">
<path class="path1" d="M0.356 17.956c0.178 0.178 0.533 0.356 0.711 0.356h33.778l-10.311 10.489c-0.178 0.178-0.356 0.533-0.356 0.711 0 0.356 0.178 0.533 0.356 0.711l1.6 1.6c0.178 0.178 0.533 0.356 0.711 0.356s0.533-0.178 0.711-0.356l14.756-14.933c0.178-0.356 0.356-0.711 0.356-0.889s-0.178-0.533-0.356-0.711l-14.756-14.933c0-0.178-0.356-0.356-0.533-0.356s-0.533 0.178-0.711 0.356l-1.6 1.6c-0.178 0.178-0.356 0.533-0.356 0.711s0.178 0.533 0.356 0.711l10.311 10.489h-33.778c-0.178 0-0.533 0.178-0.711 0.356-0.356 0.178-0.533 0.356-0.533 0.711v2.311c0 0.178 0.178 0.533 0.356 0.711z"></path>
</symbol>
<symbol id="icon-play" viewBox="0 0 22 28">
<path d="M21.625 14.484l-20.75 11.531c-0.484 0.266-0.875 0.031-0.875-0.516v-23c0-0.547 0.391-0.781 0.875-0.516l20.75 11.531c0.484 0.266 0.484 0.703 0 0.969z"></path>
</symbol>
<symbol id="icon-pause" viewBox="0 0 24 28">
<path d="M24 3v22c0 0.547-0.453 1-1 1h-8c-0.547 0-1-0.453-1-1v-22c0-0.547 0.453-1 1-1h8c0.547 0 1 0.453 1 1zM10 3v22c0 0.547-0.453 1-1 1h-8c-0.547 0-1-0.453-1-1v-22c0-0.547 0.453-1 1-1h8c0.547 0 1 0.453 1 1z"></path>
</symbol>
</defs>
</svg> <script data-no-optimize="1">!function(t,e){"object"==typeof exports&&"undefined"!=typeof module?module.exports=e():"function"==typeof define&&define.amd?define(e):(t="undefined"!=typeof globalThis?globalThis:t||self).LazyLoad=e()}(this,function(){"use strict";function e(){return(e=Object.assign||function(t){for(var e=1;e<arguments.length;e++){var n,a=arguments[e];for(n in a)Object.prototype.hasOwnProperty.call(a,n)&&(t[n]=a[n])}return t}).apply(this,arguments)}function i(t){return e({},it,t)}function o(t,e){var n,a="LazyLoad::Initialized",i=new t(e);try{n=new CustomEvent(a,{detail:{instance:i}})}catch(t){(n=document.createEvent("CustomEvent")).initCustomEvent(a,!1,!1,{instance:i})}window.dispatchEvent(n)}function l(t,e){return t.getAttribute(gt+e)}function c(t){return l(t,bt)}function s(t,e){return function(t,e,n){e=gt+e;null!==n?t.setAttribute(e,n):t.removeAttribute(e)}(t,bt,e)}function r(t){return s(t,null),0}function u(t){return null===c(t)}function d(t){return c(t)===vt}function f(t,e,n,a){t&&(void 0===a?void 0===n?t(e):t(e,n):t(e,n,a))}function _(t,e){nt?t.classList.add(e):t.className+=(t.className?" ":"")+e}function v(t,e){nt?t.classList.remove(e):t.className=t.className.replace(new RegExp("(^|\\s+)"+e+"(\\s+|$)")," ").replace(/^\s+/,"").replace(/\s+$/,"")}function g(t){return t.llTempImage}function b(t,e){!e||(e=e._observer)&&e.unobserve(t)}function p(t,e){t&&(t.loadingCount+=e)}function h(t,e){t&&(t.toLoadCount=e)}function n(t){for(var e,n=[],a=0;e=t.children[a];a+=1)"SOURCE"===e.tagName&&n.push(e);return n}function m(t,e){(t=t.parentNode)&&"PICTURE"===t.tagName&&n(t).forEach(e)}function a(t,e){n(t).forEach(e)}function E(t){return!!t[st]}function I(t){return t[st]}function y(t){return delete t[st]}function A(e,t){var n;E(e)||(n={},t.forEach(function(t){n[t]=e.getAttribute(t)}),e[st]=n)}function k(a,t){var i;E(a)&&(i=I(a),t.forEach(function(t){var e,n;e=a,(t=i[n=t])?e.setAttribute(n,t):e.removeAttribute(n)}))}function L(t,e,n){_(t,e.class_loading),s(t,ut),n&&(p(n,1),f(e.callback_loading,t,n))}function w(t,e,n){n&&t.setAttribute(e,n)}function x(t,e){w(t,ct,l(t,e.data_sizes)),w(t,rt,l(t,e.data_srcset)),w(t,ot,l(t,e.data_src))}function O(t,e,n){var a=l(t,e.data_bg_multi),i=l(t,e.data_bg_multi_hidpi);(a=at&&i?i:a)&&(t.style.backgroundImage=a,n=n,_(t=t,(e=e).class_applied),s(t,ft),n&&(e.unobserve_completed&&b(t,e),f(e.callback_applied,t,n)))}function N(t,e){!e||0<e.loadingCount||0<e.toLoadCount||f(t.callback_finish,e)}function C(t,e,n){t.addEventListener(e,n),t.llEvLisnrs[e]=n}function M(t){return!!t.llEvLisnrs}function z(t){if(M(t)){var e,n,a=t.llEvLisnrs;for(e in a){var i=a[e];n=e,i=i,t.removeEventListener(n,i)}delete t.llEvLisnrs}}function R(t,e,n){var a;delete t.llTempImage,p(n,-1),(a=n)&&--a.toLoadCount,v(t,e.class_loading),e.unobserve_completed&&b(t,n)}function T(o,r,c){var l=g(o)||o;M(l)||function(t,e,n){M(t)||(t.llEvLisnrs={});var a="VIDEO"===t.tagName?"loadeddata":"load";C(t,a,e),C(t,"error",n)}(l,function(t){var e,n,a,i;n=r,a=c,i=d(e=o),R(e,n,a),_(e,n.class_loaded),s(e,dt),f(n.callback_loaded,e,a),i||N(n,a),z(l)},function(t){var e,n,a,i;n=r,a=c,i=d(e=o),R(e,n,a),_(e,n.class_error),s(e,_t),f(n.callback_error,e,a),i||N(n,a),z(l)})}function G(t,e,n){var a,i,o,r,c;t.llTempImage=document.createElement("IMG"),T(t,e,n),E(c=t)||(c[st]={backgroundImage:c.style.backgroundImage}),o=n,r=l(a=t,(i=e).data_bg),c=l(a,i.data_bg_hidpi),(r=at&&c?c:r)&&(a.style.backgroundImage='url("'.concat(r,'")'),g(a).setAttribute(ot,r),L(a,i,o)),O(t,e,n)}function D(t,e,n){var a;T(t,e,n),a=e,e=n,(t=It[(n=t).tagName])&&(t(n,a),L(n,a,e))}function V(t,e,n){var a;a=t,(-1<yt.indexOf(a.tagName)?D:G)(t,e,n)}function F(t,e,n){var a;t.setAttribute("loading","lazy"),T(t,e,n),a=e,(e=It[(n=t).tagName])&&e(n,a),s(t,vt)}function j(t){t.removeAttribute(ot),t.removeAttribute(rt),t.removeAttribute(ct)}function P(t){m(t,function(t){k(t,Et)}),k(t,Et)}function S(t){var e;(e=At[t.tagName])?e(t):E(e=t)&&(t=I(e),e.style.backgroundImage=t.backgroundImage)}function U(t,e){var n;S(t),n=e,u(e=t)||d(e)||(v(e,n.class_entered),v(e,n.class_exited),v(e,n.class_applied),v(e,n.class_loading),v(e,n.class_loaded),v(e,n.class_error)),r(t),y(t)}function $(t,e,n,a){var i;n.cancel_on_exit&&(c(t)!==ut||"IMG"===t.tagName&&(z(t),m(i=t,function(t){j(t)}),j(i),P(t),v(t,n.class_loading),p(a,-1),r(t),f(n.callback_cancel,t,e,a)))}function q(t,e,n,a){var i,o,r=(o=t,0<=pt.indexOf(c(o)));s(t,"entered"),_(t,n.class_entered),v(t,n.class_exited),i=t,o=a,n.unobserve_entered&&b(i,o),f(n.callback_enter,t,e,a),r||V(t,n,a)}function H(t){return t.use_native&&"loading"in HTMLImageElement.prototype}function B(t,i,o){t.forEach(function(t){return(a=t).isIntersecting||0<a.intersectionRatio?q(t.target,t,i,o):(e=t.target,n=t,a=i,t=o,void(u(e)||(_(e,a.class_exited),$(e,n,a,t),f(a.callback_exit,e,n,t))));var e,n,a})}function J(e,n){var t;et&&!H(e)&&(n._observer=new IntersectionObserver(function(t){B(t,e,n)},{root:(t=e).container===document?null:t.container,rootMargin:t.thresholds||t.threshold+"px"}))}function K(t){return Array.prototype.slice.call(t)}function Q(t){return t.container.querySelectorAll(t.elements_selector)}function W(t){return c(t)===_t}function X(t,e){return e=t||Q(e),K(e).filter(u)}function Y(e,t){var n;(n=Q(e),K(n).filter(W)).forEach(function(t){v(t,e.class_error),r(t)}),t.update()}function t(t,e){var n,a,t=i(t);this._settings=t,this.loadingCount=0,J(t,this),n=t,a=this,Z&&window.addEventListener("online",function(){Y(n,a)}),this.update(e)}var Z="undefined"!=typeof window,tt=Z&&!("onscroll"in window)||"undefined"!=typeof navigator&&/(gle|ing|ro)bot|crawl|spider/i.test(navigator.userAgent),et=Z&&"IntersectionObserver"in window,nt=Z&&"classList"in document.createElement("p"),at=Z&&1<window.devicePixelRatio,it={elements_selector:".lazy",container:tt||Z?document:null,threshold:300,thresholds:null,data_src:"src",data_srcset:"srcset",data_sizes:"sizes",data_bg:"bg",data_bg_hidpi:"bg-hidpi",data_bg_multi:"bg-multi",data_bg_multi_hidpi:"bg-multi-hidpi",data_poster:"poster",class_applied:"applied",class_loading:"litespeed-loading",class_loaded:"litespeed-loaded",class_error:"error",class_entered:"entered",class_exited:"exited",unobserve_completed:!0,unobserve_entered:!1,cancel_on_exit:!0,callback_enter:null,callback_exit:null,callback_applied:null,callback_loading:null,callback_loaded:null,callback_error:null,callback_finish:null,callback_cancel:null,use_native:!1},ot="src",rt="srcset",ct="sizes",lt="poster",st="llOriginalAttrs",ut="loading",dt="loaded",ft="applied",_t="error",vt="native",gt="data-",bt="ll-status",pt=[ut,dt,ft,_t],ht=[ot],mt=[ot,lt],Et=[ot,rt,ct],It={IMG:function(t,e){m(t,function(t){A(t,Et),x(t,e)}),A(t,Et),x(t,e)},IFRAME:function(t,e){A(t,ht),w(t,ot,l(t,e.data_src))},VIDEO:function(t,e){a(t,function(t){A(t,ht),w(t,ot,l(t,e.data_src))}),A(t,mt),w(t,lt,l(t,e.data_poster)),w(t,ot,l(t,e.data_src)),t.load()}},yt=["IMG","IFRAME","VIDEO"],At={IMG:P,IFRAME:function(t){k(t,ht)},VIDEO:function(t){a(t,function(t){k(t,ht)}),k(t,mt),t.load()}},kt=["IMG","IFRAME","VIDEO"];return t.prototype={update:function(t){var e,n,a,i=this._settings,o=X(t,i);{if(h(this,o.length),!tt&&et)return H(i)?(e=i,n=this,o.forEach(function(t){-1!==kt.indexOf(t.tagName)&&F(t,e,n)}),void h(n,0)):(t=this._observer,i=o,t.disconnect(),a=t,void i.forEach(function(t){a.observe(t)}));this.loadAll(o)}},destroy:function(){this._observer&&this._observer.disconnect(),Q(this._settings).forEach(function(t){y(t)}),delete this._observer,delete this._settings,delete this.loadingCount,delete this.toLoadCount},loadAll:function(t){var e=this,n=this._settings;X(t,n).forEach(function(t){b(t,e),V(t,n,e)})},restoreAll:function(){var e=this._settings;Q(e).forEach(function(t){U(t,e)})}},t.load=function(t,e){e=i(e);V(t,e)},t.resetStatus=function(t){r(t)},Z&&function(t,e){if(e)if(e.length)for(var n,a=0;n=e[a];a+=1)o(t,n);else o(t,e)}(t,window.lazyLoadOptions),t});!function(e,t){"use strict";function a(){t.body.classList.add("litespeed_lazyloaded")}function n(){console.log("[LiteSpeed] Start Lazy Load Images"),d=new LazyLoad({elements_selector:"[data-lazyloaded]",callback_finish:a}),o=function(){d.update()},e.MutationObserver&&new MutationObserver(o).observe(t.documentElement,{childList:!0,subtree:!0,attributes:!0})}var d,o;e.addEventListener?e.addEventListener("load",n,!1):e.attachEvent("onload",n)}(window,document);</script><script data-optimized="1" src="https://www.ssla.co.uk/wp-content/litespeed/js/982817b60b024341169b39367f57b283.js?ver=34820" defer></script></body></html>

Home · About · News · Docs · Terms