{"id":3669,"date":"2024-03-13T07:17:06","date_gmt":"2024-03-13T07:17:06","guid":{"rendered":"https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/"},"modified":"2025-07-30T19:33:28","modified_gmt":"2025-07-30T19:33:28","slug":"how-to-use-capsule-network-in-keras","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/","title":{"rendered":"Capsule Network Keras Implementation Guide"},"content":{"rendered":"<p>Capsule networks can be implemented in Keras by using the Capsule and PrimaryCap layers from keras.layers. Here is a simple example.<\/p>\n<pre class=\"post-pre\"><code><span class=\"hljs-keyword\">from<\/span> keras <span class=\"hljs-keyword\">import<\/span> layers\r\n<span class=\"hljs-keyword\">from<\/span> keras.models <span class=\"hljs-keyword\">import<\/span> Model\r\n\r\n<span class=\"hljs-comment\"># \u5b9a\u4e49Capsule\u7f51\u7edc\u67b6\u6784<\/span>\r\n<span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">CapsuleModel<\/span>(<span class=\"hljs-params\">input_shape, n_class, routings<\/span>):\r\n    x = layers.Input(shape=input_shape)\r\n\r\n    <span class=\"hljs-comment\"># \u5b9a\u4e49\u7b2c\u4e00\u4e2aCapsule\u5c42<\/span>\r\n    conv1 = layers.Conv2D(<span class=\"hljs-number\">128<\/span>, (<span class=\"hljs-number\">9<\/span>, <span class=\"hljs-number\">9<\/span>), activation=<span class=\"hljs-string\">'relu'<\/span>, padding=<span class=\"hljs-string\">'valid'<\/span>)(x)\r\n    primarycaps = PrimaryCap(conv1, dim_capsule=<span class=\"hljs-number\">8<\/span>, n_channels=<span class=\"hljs-number\">32<\/span>, kernel_size=<span class=\"hljs-number\">9<\/span>, strides=<span class=\"hljs-number\">2<\/span>, padding=<span class=\"hljs-string\">'valid'<\/span>)\r\n\r\n    <span class=\"hljs-comment\"># \u5b9a\u4e49\u7b2c\u4e8c\u4e2aCapsule\u5c42<\/span>\r\n    digitcaps = CapsuleLayer(num_capsule=n_class, dim_capsule=<span class=\"hljs-number\">16<\/span>, routings=routings)(primarycaps)\r\n\r\n    <span class=\"hljs-comment\"># \u8f93\u51fa\u5206\u7c7b\u7ed3\u679c<\/span>\r\n    out_caps = Length()(digitcaps)\r\n    \r\n    <span class=\"hljs-keyword\">return<\/span> Model(x, out_caps)\r\n\r\n<span class=\"hljs-comment\"># \u5b9a\u4e49PrimaryCapsule\u5c42<\/span>\r\n<span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">PrimaryCap<\/span>(<span class=\"hljs-params\">inputs, dim_capsule, n_channels, kernel_size, strides, padding<\/span>):\r\n    output = layers.Conv2D(filters=dim_capsule*n_channels, kernel_size=kernel_size, strides=strides, padding=padding)(inputs)\r\n    outputs = layers.Reshape(target_shape=(-<span class=\"hljs-number\">1<\/span>, dim_capsule))(output)\r\n    <span class=\"hljs-keyword\">return<\/span> layers.Lambda(<span class=\"hljs-keyword\">lambda<\/span> x: x \/ K.sqrt(K.<span class=\"hljs-built_in\">sum<\/span>(K.square(x), axis=-<span class=\"hljs-number\">1<\/span>, keepdims=<span class=\"hljs-literal\">True<\/span>)))(outputs)\r\n\r\n<span class=\"hljs-comment\"># \u5b9a\u4e49Capsule\u5c42<\/span>\r\n<span class=\"hljs-keyword\">class<\/span> <span class=\"hljs-title class_\">CapsuleLayer<\/span>(layers.Layer):\r\n    <span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">__init__<\/span>(<span class=\"hljs-params\">self, num_capsule, dim_capsule, routings=<span class=\"hljs-number\">3<\/span>, kernel_initializer=<span class=\"hljs-string\">'glorot_uniform'<\/span>, **kwargs<\/span>):\r\n        <span class=\"hljs-built_in\">super<\/span>(CapsuleLayer, self).__init__(**kwargs)\r\n        self.num_capsule = num_capsule\r\n        self.dim_capsule = dim_capsule\r\n        self.routings = routings\r\n        self.kernel_initializer = initializers.get(kernel_initializer)\r\n\r\n    <span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">build<\/span>(<span class=\"hljs-params\">self, input_shape<\/span>):\r\n        input_dim_capsule = input_shape[-<span class=\"hljs-number\">1<\/span>]\r\n        self.W = self.add_weight(shape=[input_dim_capsule, self.num_capsule * self.dim_capsule], initializer=self.kernel_initializer, name=<span class=\"hljs-string\">'W'<\/span>)\r\n        self.built = <span class=\"hljs-literal\">True<\/span>\r\n\r\n    <span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">call<\/span>(<span class=\"hljs-params\">self, inputs<\/span>):\r\n        inputs_expand = K.expand_dims(inputs, <span class=\"hljs-number\">2<\/span>)\r\n        inputs_tiled = K.tile(inputs_expand, [<span class=\"hljs-number\">1<\/span>, <span class=\"hljs-number\">1<\/span>, self.num_capsule, <span class=\"hljs-number\">1<\/span>])\r\n        inputs_hat = K.map_fn(<span class=\"hljs-keyword\">lambda<\/span> x: K.batch_dot(x, self.W, [<span class=\"hljs-number\">2<\/span>, <span class=\"hljs-number\">1<\/span>]), elems=inputs_tiled)\r\n        b = tf.zeros(shape=[K.shape(inputs_hat)[<span class=\"hljs-number\">0<\/span>], self.num_capsule, K.shape(inputs_hat)[<span class=\"hljs-number\">2<\/span>]])\r\n        <span class=\"hljs-keyword\">assert<\/span> self.routings &gt; <span class=\"hljs-number\">0<\/span>\r\n        <span class=\"hljs-keyword\">for<\/span> i <span class=\"hljs-keyword\">in<\/span> <span class=\"hljs-built_in\">range<\/span>(self.routings):\r\n            c = tf.nn.softmax(b, dim=<span class=\"hljs-number\">1<\/span>)\r\n            outputs = squash(K.batch_dot(c, inputs_hat, [<span class=\"hljs-number\">2<\/span>, <span class=\"hljs-number\">2<\/span>]))\r\n            <span class=\"hljs-keyword\">if<\/span> i &lt; self.routings - <span class=\"hljs-number\">1<\/span>:\r\n                b += K.batch_dot(outputs, inputs_hat, [<span class=\"hljs-number\">2<\/span>, <span class=\"hljs-number\">3<\/span>])\r\n        <span class=\"hljs-keyword\">return<\/span> outputs\r\n\r\n    <span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">compute_output_shape<\/span>(<span class=\"hljs-params\">self, input_shape<\/span>):\r\n        <span class=\"hljs-keyword\">return<\/span> input_shape\r\n\r\n<span class=\"hljs-comment\"># \u5b9a\u4e49Length\u5c42<\/span>\r\n<span class=\"hljs-keyword\">class<\/span> <span class=\"hljs-title class_\">Length<\/span>(layers.Layer):\r\n    <span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">call<\/span>(<span class=\"hljs-params\">self, inputs, **kwargs<\/span>):\r\n        <span class=\"hljs-keyword\">return<\/span> K.sqrt(K.<span class=\"hljs-built_in\">sum<\/span>(K.square(inputs), -<span class=\"hljs-number\">1<\/span>))\r\n\r\n    <span class=\"hljs-keyword\">def<\/span> <span class=\"hljs-title function_\">compute_output_shape<\/span>(<span class=\"hljs-params\">self, input_shape<\/span>):\r\n        <span class=\"hljs-keyword\">return<\/span> input_shape[:-<span class=\"hljs-number\">1<\/span>]\r\n\r\n<span class=\"hljs-comment\"># \u6784\u5efaCapsule\u7f51\u7edc\u6a21\u578b<\/span>\r\nmodel = CapsuleModel((<span class=\"hljs-number\">28<\/span>, <span class=\"hljs-number\">28<\/span>, <span class=\"hljs-number\">1<\/span>), <span class=\"hljs-number\">10<\/span>, <span class=\"hljs-number\">3<\/span>)\r\nmodel.<span class=\"hljs-built_in\">compile<\/span>(optimizer=<span class=\"hljs-string\">'adam'<\/span>, loss=<span class=\"hljs-string\">'sparse_categorical_crossentropy'<\/span>, metrics=[<span class=\"hljs-string\">'accuracy'<\/span>])\r\n<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"<p>Capsule networks can be implemented in Keras by using the Capsule and PrimaryCap layers from keras.layers. Here is a simple example. from keras import layers from keras.models import Model # \u5b9a\u4e49Capsule\u7f51\u7edc\u67b6\u6784 def CapsuleModel(input_shape, n_class, routings): x = layers.Input(shape=input_shape) # \u5b9a\u4e49\u7b2c\u4e00\u4e2aCapsule\u5c42 conv1 = layers.Conv2D(128, (9, 9), activation=&#8217;relu&#8217;, padding=&#8217;valid&#8217;)(x) primarycaps = PrimaryCap(conv1, dim_capsule=8, n_channels=32, kernel_size=9, strides=2, padding=&#8217;valid&#8217;) [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","footnotes":""},"categories":[1],"tags":[2333,960,1251,944,959],"class_list":["post-3669","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-capsule-network","tag-deep-learning","tag-keras","tag-neural-networks","tag-tensorflow"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v21.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Capsule Network Keras Implementation Guide - Blog - Silicon Cloud<\/title>\n<meta name=\"description\" content=\"Learn to implement Capsule Networks in Keras with PrimaryCap layers. Complete code examples provided.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Capsule Network Keras Implementation Guide\" \/>\n<meta property=\"og:description\" content=\"Learn to implement Capsule Networks in Keras with PrimaryCap layers. Complete code examples provided.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - Silicon Cloud\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/SiliCloudGlobal\/\" \/>\n<meta property=\"article:published_time\" content=\"2024-03-13T07:17:06+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-07-30T19:33:28+00:00\" \/>\n<meta name=\"author\" content=\"Liam\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@SiliCloudGlobal\" \/>\n<meta name=\"twitter:site\" content=\"@SiliCloudGlobal\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Liam\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/\"},\"author\":{\"name\":\"Liam\",\"@id\":\"https:\/\/www.silicloud.com\/blog\/#\/schema\/person\/23786905eb7b377f45ddb01c17da7671\"},\"headline\":\"Capsule Network Keras Implementation Guide\",\"datePublished\":\"2024-03-13T07:17:06+00:00\",\"dateModified\":\"2025-07-30T19:33:28+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/\"},\"wordCount\":27,\"publisher\":{\"@id\":\"https:\/\/www.silicloud.com\/blog\/#organization\"},\"keywords\":[\"Capsule Network\",\"Deep Learning\",\"Keras\",\"Neural Networks\",\"TensorFlow\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/\",\"url\":\"https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/\",\"name\":\"Capsule Network Keras Implementation Guide - Blog - Silicon Cloud\",\"isPartOf\":{\"@id\":\"https:\/\/www.silicloud.com\/blog\/#website\"},\"datePublished\":\"2024-03-13T07:17:06+00:00\",\"dateModified\":\"2025-07-30T19:33:28+00:00\",\"description\":\"Learn to implement Capsule Networks in Keras with PrimaryCap layers. Complete code examples provided.\",\"breadcrumb\":{\"@id\":\"https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.silicloud.com\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Capsule Network Keras Implementation Guide\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.silicloud.com\/blog\/#website\",\"url\":\"https:\/\/www.silicloud.com\/blog\/\",\"name\":\"Silicon Cloud Blog\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/www.silicloud.com\/blog\/#organization\"},\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.silicloud.com\/blog\/#organization\",\"name\":\"Silicon Cloud Blog\",\"url\":\"https:\/\/www.silicloud.com\/blog\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.silicloud.com\/blog\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.silicloud.com\/blog\/wp-content\/uploads\/2023\/11\/EN-SILICON-Full.png\",\"contentUrl\":\"https:\/\/www.silicloud.com\/blog\/wp-content\/uploads\/2023\/11\/EN-SILICON-Full.png\",\"width\":1024,\"height\":1024,\"caption\":\"Silicon Cloud Blog\"},\"image\":{\"@id\":\"https:\/\/www.silicloud.com\/blog\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/SiliCloudGlobal\/\",\"https:\/\/twitter.com\/SiliCloudGlobal\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.silicloud.com\/blog\/#\/schema\/person\/23786905eb7b377f45ddb01c17da7671\",\"name\":\"Liam\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.silicloud.com\/blog\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/8d37ed3e7f770dde8bf069ba0b4298688028c3abaacf1131742fc1352d174ebd?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/8d37ed3e7f770dde8bf069ba0b4298688028c3abaacf1131742fc1352d174ebd?s=96&d=mm&r=g\",\"caption\":\"Liam\"},\"sameAs\":[\"http:\/\/Wilson\"],\"url\":\"https:\/\/www.silicloud.com\/blog\/author\/liamwilson\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Capsule Network Keras Implementation Guide - Blog - Silicon Cloud","description":"Learn to implement Capsule Networks in Keras with PrimaryCap layers. Complete code examples provided.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/","og_locale":"en_US","og_type":"article","og_title":"Capsule Network Keras Implementation Guide","og_description":"Learn to implement Capsule Networks in Keras with PrimaryCap layers. Complete code examples provided.","og_url":"https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/","og_site_name":"Blog - Silicon Cloud","article_publisher":"https:\/\/www.facebook.com\/SiliCloudGlobal\/","article_published_time":"2024-03-13T07:17:06+00:00","article_modified_time":"2025-07-30T19:33:28+00:00","author":"Liam","twitter_card":"summary_large_image","twitter_creator":"@SiliCloudGlobal","twitter_site":"@SiliCloudGlobal","twitter_misc":{"Written by":"Liam","Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/#article","isPartOf":{"@id":"https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/"},"author":{"name":"Liam","@id":"https:\/\/www.silicloud.com\/blog\/#\/schema\/person\/23786905eb7b377f45ddb01c17da7671"},"headline":"Capsule Network Keras Implementation Guide","datePublished":"2024-03-13T07:17:06+00:00","dateModified":"2025-07-30T19:33:28+00:00","mainEntityOfPage":{"@id":"https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/"},"wordCount":27,"publisher":{"@id":"https:\/\/www.silicloud.com\/blog\/#organization"},"keywords":["Capsule Network","Deep Learning","Keras","Neural Networks","TensorFlow"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/","url":"https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/","name":"Capsule Network Keras Implementation Guide - Blog - Silicon Cloud","isPartOf":{"@id":"https:\/\/www.silicloud.com\/blog\/#website"},"datePublished":"2024-03-13T07:17:06+00:00","dateModified":"2025-07-30T19:33:28+00:00","description":"Learn to implement Capsule Networks in Keras with PrimaryCap layers. Complete code examples provided.","breadcrumb":{"@id":"https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/www.silicloud.com\/blog\/how-to-use-capsule-network-in-keras\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.silicloud.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Capsule Network Keras Implementation Guide"}]},{"@type":"WebSite","@id":"https:\/\/www.silicloud.com\/blog\/#website","url":"https:\/\/www.silicloud.com\/blog\/","name":"Silicon Cloud Blog","description":"","publisher":{"@id":"https:\/\/www.silicloud.com\/blog\/#organization"},"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.silicloud.com\/blog\/#organization","name":"Silicon Cloud Blog","url":"https:\/\/www.silicloud.com\/blog\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.silicloud.com\/blog\/#\/schema\/logo\/image\/","url":"https:\/\/www.silicloud.com\/blog\/wp-content\/uploads\/2023\/11\/EN-SILICON-Full.png","contentUrl":"https:\/\/www.silicloud.com\/blog\/wp-content\/uploads\/2023\/11\/EN-SILICON-Full.png","width":1024,"height":1024,"caption":"Silicon Cloud Blog"},"image":{"@id":"https:\/\/www.silicloud.com\/blog\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/SiliCloudGlobal\/","https:\/\/twitter.com\/SiliCloudGlobal"]},{"@type":"Person","@id":"https:\/\/www.silicloud.com\/blog\/#\/schema\/person\/23786905eb7b377f45ddb01c17da7671","name":"Liam","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.silicloud.com\/blog\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/8d37ed3e7f770dde8bf069ba0b4298688028c3abaacf1131742fc1352d174ebd?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/8d37ed3e7f770dde8bf069ba0b4298688028c3abaacf1131742fc1352d174ebd?s=96&d=mm&r=g","caption":"Liam"},"sameAs":["http:\/\/Wilson"],"url":"https:\/\/www.silicloud.com\/blog\/author\/liamwilson\/"}]}},"_links":{"self":[{"href":"https:\/\/www.silicloud.com\/blog\/wp-json\/wp\/v2\/posts\/3669","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.silicloud.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.silicloud.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.silicloud.com\/blog\/wp-json\/wp\/v2\/users\/12"}],"replies":[{"embeddable":true,"href":"https:\/\/www.silicloud.com\/blog\/wp-json\/wp\/v2\/comments?post=3669"}],"version-history":[{"count":2,"href":"https:\/\/www.silicloud.com\/blog\/wp-json\/wp\/v2\/posts\/3669\/revisions"}],"predecessor-version":[{"id":148329,"href":"https:\/\/www.silicloud.com\/blog\/wp-json\/wp\/v2\/posts\/3669\/revisions\/148329"}],"wp:attachment":[{"href":"https:\/\/www.silicloud.com\/blog\/wp-json\/wp\/v2\/media?parent=3669"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.silicloud.com\/blog\/wp-json\/wp\/v2\/categories?post=3669"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.silicloud.com\/blog\/wp-json\/wp\/v2\/tags?post=3669"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}