{"id":37789,"date":"2025-02-10T00:36:54","date_gmt":"2025-02-10T05:36:54","guid":{"rendered":"https:\/\/statanalytica.com\/blog\/?p=37789"},"modified":"2025-02-10T00:36:58","modified_gmt":"2025-02-10T05:36:58","slug":"pytorch-for-machine-learning","status":"publish","type":"post","link":"https:\/\/statanalytica.com\/blog\/pytorch-for-machine-learning\/","title":{"rendered":"PyTorch for Machine Learning: Unleashing the Power"},"content":{"rendered":"\n<p>PyTorch is an open-source deep learning framework\u2002created by Meta\u2019s AI Research Lab (FAIR). Flexible enough to go from research prototyping to production deployment seamlessly, PyTorch has grown to be a staple\u2002of the machine learning community. Famed\u2002for its dynamic computation graph and user-friendly interface, professionals targeting the building and deploying of deep-learning algorithms settle for it. In this ultimate PyTorch guide, we find out\u2002the advantages, key features, use cases, and everything else that you need to make the best out of PyTorch for Machine Learning problem statements.<\/p>\n\n\n\n<p>The machine learning landscape\u2002is evolving rapidly, and identifying the appropriate framework is crucial for success. PyTorch, a member of the PyTorch family of compute frameworks, is now a premier choice for researchers and developers alike. It offers a unique combination of features that you\u2002can&#8217;t find elsewhere, and it has a rich community surrounding it.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"introduction-to-pytorch\"><\/span><strong>Introduction to PyTorch<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6a7b3c776f5e2\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #ff5104;color:#ff5104\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #ff5104;color:#ff5104\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a7b3c776f5e2\" checked aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/statanalytica.com\/blog\/pytorch-for-machine-learning\/#introduction-to-pytorch\" >Introduction to PyTorch<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/statanalytica.com\/blog\/pytorch-for-machine-learning\/#why-choose-pytorch-for-machine-learning\" >Why Choose PyTorch for Machine Learning?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/statanalytica.com\/blog\/pytorch-for-machine-learning\/#getting-started-with-pytorch\" >Getting Started with PyTorch<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/statanalytica.com\/blog\/pytorch-for-machine-learning\/#installation\" >Installation<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/statanalytica.com\/blog\/pytorch-for-machine-learning\/#understanding-tensors\" >Understanding Tensors<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/statanalytica.com\/blog\/pytorch-for-machine-learning\/#building-neural-networks-with-pytorch\" >Building Neural Networks with PyTorch<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/statanalytica.com\/blog\/pytorch-for-machine-learning\/#defining-a-neural-network\" >Defining a Neural Network<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/statanalytica.com\/blog\/pytorch-for-machine-learning\/#training-the-model\" >Training the Model<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/statanalytica.com\/blog\/pytorch-for-machine-learning\/#real-world-applications-of-pytorch\" >Real-World Applications of PyTorch<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/statanalytica.com\/blog\/pytorch-for-machine-learning\/#community-and-resources\" >Community and Resources<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/statanalytica.com\/blog\/pytorch-for-machine-learning\/#conclusion\" >Conclusion<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/statanalytica.com\/blog\/pytorch-for-machine-learning\/#is-pytorch-better-than-tensorflow\" >Is PyTorch better than TensorFlow?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/statanalytica.com\/blog\/pytorch-for-machine-learning\/#how-does-pytorch-compare-to-scikit-learn\" >How does PyTorch compare to Scikit-Learn?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/statanalytica.com\/blog\/pytorch-for-machine-learning\/#is-pytorch-beginner-friendly\" >Is PyTorch beginner-friendly?<\/a><\/li><\/ul><\/nav><\/div>\n\n\n\n\n<p>PyTorch is an open-source\u2002deep learning framework from Facebook&#8217;s AI Research Lab (FAIR). PyTorch is a cornerstone of the machine learning community, enabling a smooth transition from research prototyping to production\u2002deployment. The way in which it handles the dynamic computation graphs has an intuitive design and executes all operations on the tensor, adding to its beauty\u2002, making it a de facto library amongst professionals and extremely useful for the efficient development and deployment of complex machine-learning models.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"why-choose-pytorch-for-machine-learning\"><\/span><strong>Why Choose PyTorch for Machine Learning?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Several compelling advantages back the decision to adopt PyTorch:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Dynamic Computation Graphs<\/strong>: Unlike static computation graphs, PyTorch&#8217;s dynamic graphs allow for real-time modifications, facilitating easier debugging and experimentation.<\/li>\n\n\n\n<li><strong>Pythonic and Intuitive<\/strong>: PyTorch integrates seamlessly with Python, making it accessible for those familiar with the language and enhancing code readability.<\/li>\n\n\n\n<li><strong>Robust Community Support<\/strong>: A thriving community ensures continuous development, abundant resources, and prompt assistance for users at all levels.<\/li>\n\n\n\n<li><strong>Seamless GPU Acceleration<\/strong>: PyTorch provides straightforward methods to leverage GPU acceleration, significantly boosting computational performance.<\/li>\n\n\n\n<li><strong>Versatile Ecosystem<\/strong>: With a suite of tools and libraries, PyTorch supports various applications, from computer vision to natural language processing.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"getting-started-with-pytorch\"><\/span><strong>Getting Started with PyTorch<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"installation\"><\/span><strong>Installation<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<p>PyTorch offers flexibility in installation, supporting both CPU and GPU configurations. To install PyTorch with GPU support using pip, execute:<\/p>\n\n\n\n<p>pip install torch torchvision torchaudio<\/p>\n\n\n\n<p>For detailed installation instructions tailored to your system, visit the official PyTorch website (<a href=\"https:\/\/pytorch.org\" target=\"_blank\" rel=\"noopener\">pytorch.org<\/a>).<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"understanding-tensors\"><\/span><strong>Understanding Tensors<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<p>At the heart of PyTorch lies the <strong>Tensor<\/strong>\u2014a multi-dimensional array serving as the primary data structure. Tensors are pivotal for storing data and parameters within neural networks.<\/p>\n\n\n\n<p>Here&#8217;s a simple example demonstrating tensor creation and basic operations:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh7-rt.googleusercontent.com\/docsz\/AD_4nXdC-9V_kesyxnUL1-m9copKimLCQfVh9ySDr1NXMqNv46rFq0C0Dj9jCqJwO0LTPrY3fzv0WAt7wus8NYyhLdpmUn7zU3LXIjte28D0QGx4cZJKGUPRtk0osaV2YnhAXvJVV43qwA?key=DSAYpV7B8zCN-zdnFCABJKkA\" alt=\"\"\/><\/figure>\n\n\n\n<p>This script initializes two random tensors and performs element-wise multiplication, showcasing PyTorch&#8217;s intuitive syntax.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"building-neural-networks-with-pytorch\"><\/span><strong>Building Neural Networks with PyTorch<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"defining-a-neural-network\"><\/span><strong>Defining a Neural Network<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<p>Utilize the torch.nn module to define neural network architectures. Below is an example of a simple feedforward neural network:<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh7-rt.googleusercontent.com\/docsz\/AD_4nXe1m7j8WptM4iU4_zJcABEt3u8EJtsgPDi8P0YwkimHxbkLutolFJXC5MxmJ4IJDKtUTACUlkt5U0YvtBXCvfaiDhb6AO7Xx2yZShpvluMPSbOSZJMk1cpbyW9mL3TOFUZyyJPf?key=DSAYpV7B8zCN-zdnFCABJKkA\" alt=\"\"\/><\/figure>\n\n\n\n<p><strong>In this model:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Flatten Layer<\/strong>: Converts each 2D 28&#215;28 pixel image into a 1D array of 784 pixels.<\/li>\n\n\n\n<li><strong>Linear Layers<\/strong>: Apply linear transformations to the input data.<\/li>\n\n\n\n<li><strong>ReLU Activations<\/strong>: Introduce non-linearity to the model, enabling it to learn complex patterns.<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"training-the-model\"><\/span><strong>Training the Model<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h4>\n\n\n\n<p>Training involves feeding data through the network, computing the loss, and updating the model parameters to minimize this loss.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" src=\"https:\/\/lh7-rt.googleusercontent.com\/docsz\/AD_4nXepFzdhKkUttJ1a-tBFJzpQSkwJCT9_SZFIIhY-EC3yyBLvWhBmEvDtN2dEXlvRxSEn0OuzwASSV5evZWfuGoenBIX1JFdNA8KlE8FEikuFKTCeH1ZgG3Gph-LLEKGKWer2eDG0BA?key=DSAYpV7B8zCN-zdnFCABJKkA\" alt=\"\"\/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"real-world-applications-of-pytorch\"><\/span><strong>Real-World Applications of PyTorch<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>PyTorch&#8217;s versatility has led to its adoption in various groundbreaking applications:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Computer Vision<\/strong>: From image classification to object detection, PyTorch powers numerous vision-based models.<\/li>\n\n\n\n<li><strong>Natural Language Processing (NLP)<\/strong>: It&#8217;s instrumental in tasks like language translation, sentiment analysis, and chatbot development.<\/li>\n\n\n\n<li><strong>Reinforcement Learning<\/strong>: PyTorch is widely used in AI-driven gaming and robotic automation.<\/li>\n\n\n\n<li><strong>Healthcare and Medical Imaging<\/strong>: AI models in PyTorch assist in disease detection and medical image segmentation.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"community-and-resources\"><\/span><strong>Community and Resources<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>PyTorch boasts an extensive support network, including:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Official Documentation<\/strong>: Comprehensive guides at<a href=\"https:\/\/pytorch.org\" target=\"_blank\" rel=\"noopener\"> pytorch.org<\/a>.<\/li>\n\n\n\n<li><strong>Forums and Discussions<\/strong>: Engage with the community on PyTorch Forums and Stack Overflow.<\/li>\n\n\n\n<li><strong>Online Courses<\/strong>: Platforms like Coursera and Udacity offer in-depth PyTorch courses.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"conclusion\"><\/span><strong>Conclusion<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>With its dynamic computation graphs, easy GPU utilization, and rich library ecosystem, PyTorch\u2002has transformed the face of machine learning. PyTorch gives you everything you could want to use to bring your machine-learning projects to life, whether you are an aspiring data scientist or an experienced AI researcher. Download PyTorch for free and start working with it now\u2002and benefit the future of innovations driven by AI!<\/p>\n\n\n\n<p><strong>Also Read: <a href=\"https:\/\/statanalytica.com\/blog\/pytorch-for-deep-learning\/\">Unlocking the Power of PyTorch for Deep Learning and Data Analysis<\/a><\/strong><\/p>\n\n\n<div id=\"rank-math-faq\" class=\"rank-math-block\">\n<div class=\"rank-math-list \">\n<div id=\"faq-question-1739164816501\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"is-pytorch-better-than-tensorflow\"><\/span><strong>Is PyTorch better than TensorFlow?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>PyTorch\u2002vs TensorFlow \u2014 The advantages of both PyTorch is user-friendly and flexible compared to TensorFlow, but TensorFlow\u2002is ideal for doing large-scale deployment. Tensorflow is\u2002usually the one for doing production but PyTorch is the most used framework for research and prototyping.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1739164832261\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"how-does-pytorch-compare-to-scikit-learn\"><\/span><strong>How does PyTorch compare to Scikit-Learn?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Scikit-Learn is good for the standard ML model like trees and regression, while PyTorch is for deep\u2002learning and neural networks. Thus, PyTorch is preferred for large-scale AI projects, and Scikit-Learn is preferred for regular ML\u2002tasks.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1739164845917\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"is-pytorch-beginner-friendly\"><\/span><strong>Is PyTorch beginner-friendly?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes, PyTorch&#8217;s Pythonic syntax makes it easier for beginners to learn compared to other frameworks. Additionally, there are extensive tutorials and documentation available for newcomers.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>PyTorch is an open-source deep learning framework\u2002created by Meta\u2019s AI Research Lab (FAIR). Flexible enough to go from research prototyping to production deployment seamlessly, PyTorch has grown to be a staple\u2002of the machine learning community. Famed\u2002for its dynamic computation graph and user-friendly interface, professionals targeting the building and deploying of deep-learning algorithms settle for it. [&hellip;]<\/p>\n","protected":false},"author":16,"featured_media":37792,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[138],"tags":[5120],"class_list":["post-37789","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-programming","tag-pytorch-for-machine-learning"],"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts\/37789","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/users\/16"}],"replies":[{"embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/comments?post=37789"}],"version-history":[{"count":2,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts\/37789\/revisions"}],"predecessor-version":[{"id":37793,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts\/37789\/revisions\/37793"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/media\/37792"}],"wp:attachment":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/media?parent=37789"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/categories?post=37789"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/tags?post=37789"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}