{"id":5526,"date":"2018-01-06T10:18:24","date_gmt":"2018-01-06T04:48:24","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=5526"},"modified":"2025-07-28T15:12:47","modified_gmt":"2025-07-28T09:42:47","slug":"deep-learning-tutorial","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/deep-learning-tutorial\/","title":{"rendered":"Deep Learning Tutorial &#8211; What is Neural Networks in Machine Learning"},"content":{"rendered":"<div class='__iawmlf-post-loop-links' style='display:none;' data-iawmlf-post-links='[{&quot;id&quot;:1418,&quot;href&quot;:&quot;https:\\\/\\\/en.wikipedia.org\\\/wiki\\\/Machine_learning&quot;,&quot;archived_href&quot;:&quot;http:\\\/\\\/web-wp.archive.org\\\/web\\\/20251130072921\\\/https:\\\/\\\/en.wikipedia.org\\\/wiki\\\/Machine_learning&quot;,&quot;redirect_href&quot;:&quot;&quot;,&quot;checks&quot;:[{&quot;date&quot;:&quot;2025-12-09 06:41:40&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2025-12-12 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13:13:21&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-05-27 13:51:19&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-05-30 15:11:03&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-06-02 18:48:44&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2026-06-06 01:41:18&quot;,&quot;http_code&quot;:200},{&quot;date&quot;:&quot;2026-06-09 05:37:43&quot;,&quot;http_code&quot;:404},{&quot;date&quot;:&quot;2026-06-12 11:02:59&quot;,&quot;http_code&quot;:200}],&quot;broken&quot;:false,&quot;last_checked&quot;:{&quot;date&quot;:&quot;2026-06-12 11:02:59&quot;,&quot;http_code&quot;:200},&quot;process&quot;:&quot;done&quot;}]'><\/div>\n<div>\n<div class=\"\"><span style=\"font-size: 16px\">In this Deep Learning tutorial, we will focus on What is Deep Learning. Moreover, we will discuss What is a Neural Network in Machine Learning and Deep Learning Use Cases. At last, we cover the Deep Learning Applications.<\/span><\/div>\n<\/div>\n<div><\/div>\n<div>So, let&#8217;s start Deep Learning Tutorial.<\/div>\n<h3>What is Deep Learning?<\/h3>\n<div>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">As <a href=\"https:\/\/data-flair.training\/blogs\/machine-learning-tutorial\/\">Machine learning<\/a> focuses only on solving real-world problems. Also, it takes few ideas of artificial intelligence. Moreover, machine learning does through the neural networks. That <span class=\"passivevoice\">are designed<\/span> to mimic human decision-making capabilities.<\/div>\n<\/div>\n<div class=\"\"><\/div>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Machine Learning tools and techniques are the two key narrow subsets. That only focuses more on deep learning. Furthermore, we need to apply it to solve any problem. That requires thought- human or artificial.<\/div>\n<\/div>\n<div class=\"\"><\/div>\n<\/div>\n<div class=\"\">\n<div id=\"attachment_5580\" style=\"width: 812px\" class=\"wp-caption aligncenter\"><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2017\/12\/input-output-layer.jpg\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-5580\" class=\"wp-image-5580 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2017\/12\/input-output-layer.jpg\" alt=\"Deep Learning Tutorial \" width=\"802\" height=\"420\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2017\/12\/input-output-layer.jpg 802w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2017\/12\/input-output-layer-150x79.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2017\/12\/input-output-layer-300x157.jpg 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2017\/12\/input-output-layer-768x402.jpg 768w\" sizes=\"auto, (max-width: 802px) 100vw, 802px\" \/><\/a><p id=\"caption-attachment-5580\" class=\"wp-caption-text\">Deep Learning Tutorial &#8211; Layers in Deep Learning<\/p><\/div>\n<\/div>\n<div class=\"\"><\/div>\n<div>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Any Deep neural network will consist of three types of layers:<\/div>\n<\/div>\n<div class=\"\">\n<ul>\n<li class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">The Input Layer<\/li>\n<\/ul>\n<\/div>\n<div class=\"\">\n<ul>\n<li class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">The Hidden Layer<\/li>\n<\/ul>\n<\/div>\n<div class=\"\">\n<ul>\n<li class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">The Output Layer<\/li>\n<\/ul>\n<\/div>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\"><strong>1. The input layer<\/strong><\/div>\n<div><\/div>\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">It receives all the inputs and the last layer is the output layer which provides the desired output.<\/div>\n<\/div>\n<div class=\"\"><\/div>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\"><strong>2. Hidden Layers<\/strong><\/div>\n<div><\/div>\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">All the layers <span class=\"complexword\">in between<\/span> these layers <span class=\"passivevoice\">are called<\/span> hidden layers. There can be n number of hidden layers. The hidden layers and perceptrons in each layer will depend on the use-case you are trying to solve.<\/div>\n<\/div>\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\"><\/div>\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\"><strong>3. Output Layers<\/strong><\/div>\n<div><\/div>\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">It provides the desired output.<\/div>\n<p><strong><a href=\"https:\/\/data-flair.training\/blogs\/machine-learning-software\/\">Have a look at Top machine Learning Softwares<\/a><\/strong><\/p>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">To feed a computer system with a lot of data we use deep learning. The system then uses these data to make a decision about other data. This data feeding takes place through neural networks.<\/div>\n<\/div>\n<div class=\"\"><\/div>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Moreover, Deep Learning is crucial because it focuses on developing these networks. As a result, they <span class=\"passivevoice\">are known<\/span> as Deep Neural Networks.<\/div>\n<div><\/div>\n<div>Proper Deep Learning models can accept a lot of data and provide complex analysis to find various patterns which may not be distinguishable by the human eye. They can leverage this with tasks such as image and speech recognition whereby the distinctions and challenges may be vast. The fact that these models are capable of getting better as more data is provided to them is another factor that makes them ideal for use in an always learning type of application.<\/div>\n<\/div>\n<div class=\"\">\n<h3 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Deep Learning Tutorial &#8211; What is Neural Networks?<\/h3>\n<\/div>\n<div class=\"\">\n<ul>\n<li class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">\u00a0It is a beautiful biologically programming paradigm. Also, enables a computer to learn from observational data.<\/li>\n<\/ul>\n<\/div>\n<div class=\"\">\n<ul>\n<li class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Also, it provides the best solutions to many problems. That are image recognition, speech recognition, and natural language processing.<\/li>\n<\/ul>\n<\/div>\n<div class=\"\">\n<h3 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Deep Learning Tutorial &#8211; Use Case<\/h3>\n<\/div>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">\n<p><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2017\/12\/input-output-layer-1.jpg\"><img loading=\"lazy\" decoding=\"async\" width=\"802\" height=\"420\" class=\"wp-image-5581 size-full\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2017\/12\/input-output-layer-1.jpg\" alt=\" &lt;yoastmark class=\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2017\/12\/input-output-layer-1.jpg 802w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2017\/12\/input-output-layer-1-150x79.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2017\/12\/input-output-layer-1-300x157.jpg 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2017\/12\/input-output-layer-1-768x402.jpg 768w\" sizes=\"auto, (max-width: 802px) 100vw, 802px\" \/><\/a><\/p>\n<\/div>\n<\/div>\n<div class=\"\"><\/div>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Here, in this use case, we are passing the high dimensional data to the input layer.<\/div>\n<div><\/div>\n<ul>\n<li class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">To match the dimensionality of the input data, the input layer will be needed. This contains <span class=\"complexword\">multiple<\/span> sub-layers of perceptions so that it can consume the entire input.<\/li>\n<li>The input layer will contain patterns which <span class=\"passivevoice\">were received<\/span> from the output. Also, it has the ability to identify the edges of the images based on the contrast levels<\/li>\n<li>This output will <span class=\"passivevoice\">be fed<\/span> to the hidden layer 1. And in this layer, it will be able to identify various face features like eyes, nose, ears etc.<\/li>\n<li>Now, this will <span class=\"passivevoice\">be fed<\/span> to the hidden layer 2 where it will able to form the entire faces. Then, the output of layer 2 <span class=\"passivevoice\">is sent<\/span> to the output layer.<\/li>\n<li>Finally, the output layer performs classification. This is based on the result obtained from the previous and predicts the name.<\/li>\n<\/ul>\n<\/div>\n<div class=\"\">\n<p>In a deep neural network, each of the multiple layers is important to carry out operations and transform the input data. The last layers paint a straightforward picture by picking variance edges and textures, while profound layers embrace more intricate elements recognition. This hierarchical processing is what allows deep learning models to accomplish tasks similar to facial recognition with optimum precision.<\/p>\n<h3 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Deep Learning Tutorial &#8211; Applications<\/h3>\n<p>Let&#8217;s discuss some Deep Learning Applications.<\/p>\n<\/div>\n<div class=\"\">\n<h4 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">a. Navigation of Self-driving cars<\/h4>\n<\/div>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Although it is too early to catch someone reading a newspaper while driving cars are in the future. To recognize obstacles to car learning, we can use sensors and inboard analytics. And also react to them <span class=\"adverb\">appropriately<\/span> using Deep Learning.<\/div>\n<div><strong><a href=\"https:\/\/data-flair.training\/blogs\/machine-learning-algorithm\/\">Do you know about\u00a0Machine Learning Algorithms<\/a><\/strong><\/div>\n<\/div>\n<h4>b. Recolouring Black and White Images<\/h4>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">At this time, computers <span class=\"passivevoice\">are necessary<\/span> to recognize objects. Also, learn what they should look like to humans. <span class=\"adverb\">Basically<\/span>, computers can <span class=\"passivevoice\">be used<\/span> to taught to return colors. Also, it needs to return black &amp; white pictures and videos.<\/div>\n<\/div>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Won\u2019t it be amazing to see Devdas (1955) in color?<\/div>\n<\/div>\n<div class=\"\">\n<h4 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">c. Predicting the outcome of Legal Proceedings<\/h4>\n<\/div>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">British and American researchers had developed a system. They used that system to predict court\u2019s decision.<\/div>\n<\/div>\n<div class=\"\">\n<h4 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">d. Precision Medicine<\/h4>\n<\/div>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">We use Deep Learning to develop medicines. Also, these are <span class=\"adverb\">genetically<\/span> tailored to an individual\u2019s genome.<\/div>\n<\/div>\n<div class=\"\">\n<h4 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">e. Automated analysis and Reporting<\/h4>\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">We are too much thankful for deep learning techniques. As we can see that the systems can now analyze data. Also, report insights from its natural soundings and human language.<\/div>\n<\/div>\n<div class=\"\">\n<h4 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">f. Pre-Natal Care<\/h4>\n<\/div>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">We use image recognition and deep learning techniques to interpret signs. Also, this technique <span class=\"passivevoice\">is used by<\/span> UK and Australian researchers. Also, guide pre-operative strategies.<\/div>\n<\/div>\n<div class=\"\">\n<h4 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">g. Weather Forecasting and Event Detection<\/h4>\n<\/div>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">As a result, the computational fluid dynamics codes <span class=\"passivevoice\">are matching<\/span> with neural networks. Also, other genetic algorithm approaches to detect cyclone activity.<\/div>\n<\/div>\n<div class=\"\">\n<h4 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">h. Finance<\/h4>\n<\/div>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Usually, we use popular technical indicators to generate buy and sell signals. That is for each stock and for portfolios of stocks.<\/div>\n<\/div>\n<div class=\"\">\n<h4 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">i. Automatic Machine Translation<\/h4>\n<\/div>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Deep Learning has been achieving amazing results in the following area as:<\/div>\n<\/div>\n<div class=\"\">\n<ol>\n<li class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Automatic Translation of Text<\/li>\n<li class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">\u00a0Automatic Translation of Images<\/li>\n<\/ol>\n<\/div>\n<div class=\"\">\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">We use convolutional neural networks to identify images. That have letters and where the letters are in the scene. Learn more <a href=\"https:\/\/data-flair.training\/blogs\/machine-learning-applications\/\">applications of machine learning<\/a>.<\/div>\n<\/div>\n<\/div>\n<div><\/div>\n<div>So, this was all about Deep Learning Tutorial. Hope you like our explanation.<\/div>\n<h3 class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Conclusion<\/h3>\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">\u00a0Deep Learning is a part of Machine Learning that teaches computers to learn from data in a way that mimics the human brain. It uses a structure called a neural network, which is made of layers of nodes or &#8220;neurons.&#8221; These layers are stacked one after another\u2014input layer, hidden layers, and output layer. The more hidden layers a network has, the \u201cdeeper\u201d it becomes\u2014hence the name deep learning.<\/div>\n<div><\/div>\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Deep learning is used to recognize images, translate languages, understand speech, and even play games. What makes deep learning powerful is its ability to learn patterns from large amounts of data without needing manual features. This means it finds what matters on its own.<\/div>\n<div><\/div>\n<div class=\"public-DraftStyleDefault-block public-DraftStyleDefault-ltr\">Furthermore, if you feel any query, feel free to ask in the comment section.<\/div>\n<div><strong>See also &#8211;\u00a0<\/strong><\/div>\n<div><strong><a href=\"https:\/\/data-flair.training\/blogs\/transfer-learning\/\">Deep Learning with CNN<\/a><\/strong><\/div>\n<div><a href=\"https:\/\/en.wikipedia.org\/wiki\/Machine_learning\"><strong>For reference<\/strong><\/a><\/div>\n","protected":false},"excerpt":{"rendered":"<p>In this Deep Learning tutorial, we will focus on What is Deep Learning. Moreover, we will discuss What is a Neural Network in Machine Learning and Deep Learning Use Cases. At last, we cover&#46;&#46;&#46;<\/p>\n","protected":false},"author":5,"featured_media":42314,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[36],"tags":[663,3653,16484,3668,3684,9053,15697],"class_list":["post-5526","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-machine-learning","tag-an-introduction-to-deep-learning","tag-deep-learning","tag-deep-learning-ml","tag-deep-learning-neural-networks","tag-deeplearning-ai","tag-neural-network-and-deep-learning","tag-what-is-deep-learning"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Deep Learning Tutorial - What is Neural Networks in Machine Learning - DataFlair<\/title>\n<meta name=\"description\" content=\"Deep Learning Tutorial - Learn what is deep learning and neural networks in Machine learning and various use cases and applications of deep learning\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/deep-learning-tutorial\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Deep Learning Tutorial - What is Neural Networks in Machine Learning - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Deep Learning Tutorial - Learn what is deep learning and neural networks in Machine learning and various use cases and applications of deep learning\" \/>\n<meta property=\"og:url\" content=\"https:\/\/data-flair.training\/blogs\/deep-learning-tutorial\/\" \/>\n<meta property=\"og:site_name\" content=\"DataFlair\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataFlairWS\/\" \/>\n<meta property=\"article:published_time\" content=\"2018-01-06T04:48:24+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-07-28T09:42:47+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Deep-Learning-Tutorial-01.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"628\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"DataFlair Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DataFlairWS\" \/>\n<meta name=\"twitter:site\" content=\"@DataFlairWS\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"DataFlair Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"6 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Deep Learning Tutorial - What is Neural Networks in Machine Learning - DataFlair","description":"Deep Learning Tutorial - Learn what is deep learning and neural networks in Machine learning and various use cases and applications of deep learning","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:\/\/data-flair.training\/blogs\/deep-learning-tutorial\/","og_locale":"en_US","og_type":"article","og_title":"Deep Learning Tutorial - What is Neural Networks in Machine Learning - DataFlair","og_description":"Deep Learning Tutorial - Learn what is deep learning and neural networks in Machine learning and various use cases and applications of deep learning","og_url":"https:\/\/data-flair.training\/blogs\/deep-learning-tutorial\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2018-01-06T04:48:24+00:00","article_modified_time":"2025-07-28T09:42:47+00:00","og_image":[{"width":1200,"height":628,"url":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/01\/Deep-Learning-Tutorial-01.jpg","type":"image\/jpeg"}],"author":"DataFlair Team","twitter_card":"summary_large_image","twitter_creator":"@DataFlairWS","twitter_site":"@DataFlairWS","twitter_misc":{"Written by":"DataFlair Team","Est. reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/data-flair.training\/blogs\/deep-learning-tutorial\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/deep-learning-tutorial\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/7f83c342f5d1632d6f7b4b0b0f447823"},"headline":"Deep Learning Tutorial &#8211; 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