{"id":2072,"date":"2021-07-25T16:38:05","date_gmt":"2021-07-25T16:38:05","guid":{"rendered":"https:\/\/genial-code.com\/?p=2072"},"modified":"2023-11-28T16:59:09","modified_gmt":"2023-11-28T11:59:09","slug":"deep-learning-a-modern-approach","status":"publish","type":"post","link":"https:\/\/genial-code.com\/es\/deep-learning-a-modern-approach\/","title":{"rendered":"Deep Learning Algorithms: A Modern Approach"},"content":{"rendered":"<p style=\"text-align: justify;\"><span style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Deep Learning is an AI feature that imitates the workings of human talent in processing information and growing patterns for use in decision-making. AI deep learning is a subset of machine learning in artificial intelligence that has networks successful of getting to know unsupervised from information that is unstructured or unlabeled. Artificial intelligence deep learning is basically a subfield of machine learning involved with algorithms stimulated by way of the shape and feature of the intelligence known as convolutional neural network.<\/span><\/p><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_76 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" 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: #999;color:#999\" 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><\/span><\/a><\/span><\/div>\n<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:\/\/genial-code.com\/es\/deep-learning-a-modern-approach\/#Deep_Learning_Algorithms_Key_Points\" >Deep Learning Algorithms Key Points<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/genial-code.com\/es\/deep-learning-a-modern-approach\/#Deep_learning_with_Neural_Networks\" >Deep learning with Neural Networks<\/a><ul class='ez-toc-list-level-4' ><li class='ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/genial-code.com\/es\/deep-learning-a-modern-approach\/#Classic_Neural_Networks\" >Classic Neural Networks<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/genial-code.com\/es\/deep-learning-a-modern-approach\/#Convolutional_Neural_Network\" >Convolutional Neural Network<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/genial-code.com\/es\/deep-learning-a-modern-approach\/#Recurrent_Neural_Networks_RNNs\" >Recurrent Neural Networks (RNNs)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/genial-code.com\/es\/deep-learning-a-modern-approach\/#Self-Organizing_Maps\" >Self-Organizing Maps<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-4'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/genial-code.com\/es\/deep-learning-a-modern-approach\/#Deep_Reinforcement_Learning\" >Deep Reinforcement Learning<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/genial-code.com\/es\/deep-learning-a-modern-approach\/#Deep_Learning_Book_PDF\" >Deep Learning Book PDF<\/a><\/li><\/ul><\/nav><\/div>\n\n<div id=\"attachment_2700\" style=\"width: 500px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-2700\" class=\" wp-image-2700\" src=\"https:\/\/genial-code.com\/wp-content\/uploads\/2021\/07\/Deep-Learning-with-Python-200x300.jpg\" alt=\"\" width=\"490\" height=\"735\" srcset=\"https:\/\/genial-code.com\/wp-content\/uploads\/2021\/07\/Deep-Learning-with-Python-200x300.jpg 200w, https:\/\/genial-code.com\/wp-content\/uploads\/2021\/07\/Deep-Learning-with-Python-682x1024.jpg 682w, https:\/\/genial-code.com\/wp-content\/uploads\/2021\/07\/Deep-Learning-with-Python-768x1153.jpg 768w, https:\/\/genial-code.com\/wp-content\/uploads\/2021\/07\/Deep-Learning-with-Python-1023x1536.jpg 1023w, https:\/\/genial-code.com\/wp-content\/uploads\/2021\/07\/Deep-Learning-with-Python-810x1216.jpg 810w, https:\/\/genial-code.com\/wp-content\/uploads\/2021\/07\/Deep-Learning-with-Python.jpg 1066w\" sizes=\"(max-width: 490px) 100vw, 490px\" \/><p id=\"caption-attachment-2700\" class=\"wp-caption-text\"><span style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Deep Learning with Python<\/span><\/p><\/div>\n<h3 style=\"text-align: justify;\"><span class=\"ez-toc-section\" id=\"Deep_Learning_Algorithms_Key_Points\"><\/span><span style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Deep Learning Algorithms Key Points<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<ul style=\"text-align: justify;\">\n<li style=\"text-align: justify;\"><span style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Deep learning AI is capable to research except human supervision, drawing from records that&#8217;s each unstructured and unlabeled.<\/span><\/li>\n<li style=\"text-align: justify;\"><span style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Machine learning and deep learning, are often wont to assist discover fraud or cash laundering, amongst different functions.<\/span><\/li>\n<\/ul>\n<p style=\"text-align: justify;\"><span style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Computer applications that use deep learning go thru a lot the equal method as the toddler learning to discover the dog.\u00a0 Iterations proceed till the output has reached an desirable degree of accuracy. The variety of processing layers via which statistics ought to omit is what stimulated the label deep.<\/span><br \/>\n<span style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Deep q learning lets in computational fashions that are composed of a couple of processing layers to examine representations of statistics with more than one stages of abstraction. These techniques have increased the modern in speech recognition, visible object recognition, object detection and many different domains such as drug discovery and genomics. Deep Learning uncovers complex patterns in large data sets by employing the backpropagation algorithm to indicate how a computer should change its internal parameters used to compute the representation in each layer from the representation in the previous layer.<\/span><\/p>\n<h3 style=\"text-align: justify;\"><span class=\"ez-toc-section\" id=\"Deep_learning_with_Neural_Networks\"><\/span><span style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Deep learning with Neural Networks<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p style=\"text-align: justify;\"><span style=\"font-family: tahoma, arial, helvetica, sans-serif;\">There are many important deep learning with neural networks techniques, some are given below<\/span><\/p>\n<h4 style=\"text-align: justify;\"><span class=\"ez-toc-section\" id=\"Classic_Neural_Networks\"><\/span><span style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Classic Neural Networks<\/span><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p style=\"text-align: justify;\"><span style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Also known as Fully Connected Neural Networks, its recognition comes from its multilayer perceptrons, in which neurons connect to the continuous layer. It entails the adaptation of the mannequin into necessary binary facts inputs.<\/span><\/p>\n<h4 style=\"text-align: justify;\"><span class=\"ez-toc-section\" id=\"Convolutional_Neural_Network\"><\/span><span style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Convolutional Neural Network<\/span><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p style=\"text-align: justify;\"><span style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Convolutional neural net is an advanced and high-potential variation of the traditional deep convolutional neural network model. Furthermore, it is designed for handling increased complexity, preprocessing, and data compilation. It draws inspiration from the organization of neurons found in the visual cortex of an animal brain.<\/span><\/p>\n<h4 style=\"text-align: justify;\"><span class=\"ez-toc-section\" id=\"Recurrent_Neural_Networks_RNNs\"><\/span><span style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Recurrent Neural Networks (RNNs)<\/span><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p style=\"text-align: justify;\"><span style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Initially, designers created RNNs to predict sequences, and the Long Short-Term Memory (LSTM) algorithm is well-known for its multiple functionalities. Such networks work completely on records sequences of the variable enter length. The RNN places the expertise won from its preceding kingdom as an enter cost for the contemporary prediction. Therefore, it can assist in attaining momentary reminiscence in a network, main to the fantastic administration of inventory rate changes, or different time-based information systems.<\/span><\/p>\n<h4 style=\"text-align: justify;\"><span class=\"ez-toc-section\" id=\"Self-Organizing_Maps\"><\/span><span style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Self-Organizing Maps<\/span><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p><span style=\"font-family: tahoma, arial, helvetica, sans-serif;\">The SOMs, or Self-Organizing Maps, function with the assistance of unsupervised data, reducing the number of random variables in a model. In this Deep Learning technique, the model fixes the output dimension as a two-dimensional model, connecting each synapse to its input and output nodes.<\/span><\/p>\n<h4 style=\"text-align: justify;\"><span class=\"ez-toc-section\" id=\"Deep_Reinforcement_Learning\"><\/span><span style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Deep Reinforcement Learning<\/span><span class=\"ez-toc-section-end\"><\/span><\/h4>\n<p style=\"text-align: justify;\"><span style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Before perception the Deep Reinforcement Learning technique, reinforcement getting to know refers to the technique the place an agent interacts with an surroundings to adjust its state. The agent can take a look at and take movements accordingly, the agent helps a community to attain its goal via interacting with the situation.<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"Deep_Learning_Book_PDF\"><\/span><span style=\"font-family: tahoma, arial, helvetica, sans-serif;\">Deep Learning Book PDF<\/span><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><a href=\"https:\/\/d2l.ai\/d2l-en.pdf\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-2393\" src=\"https:\/\/genial-code.com\/wp-content\/uploads\/2020\/07\/Picture11-300x69.png\" alt=\"\" width=\"139\" height=\"32\" srcset=\"https:\/\/genial-code.com\/wp-content\/uploads\/2020\/07\/Picture11-300x69.png 300w, https:\/\/genial-code.com\/wp-content\/uploads\/2020\/07\/Picture11.png 346w\" sizes=\"(max-width: 139px) 100vw, 139px\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Deep Learning is an AI feature that imitates the workings of human talent in processing information and growing patterns for use in decision-making. AI deep learning is a subset of machine learning in artificial intelligence that has networks successful of getting to know unsupervised from information that is unstructured or unlabeled. Artificial intelligence deep learning [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":2592,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"categories":[1585,710],"tags":[915,1423,1593,1592,1589,1588,1194,1590,1195,1591,1193,1587,1586],"translation":{"provider":"WPGlobus","version":"3.0.0","language":"es","enabled_languages":["en","es","de","fr","ru"],"languages":{"en":{"title":true,"content":true,"excerpt":false},"es":{"title":false,"content":false,"excerpt":false},"de":{"title":false,"content":false,"excerpt":false},"fr":{"title":false,"content":false,"excerpt":false},"ru":{"title":false,"content":false,"excerpt":false}}},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Deep Learning Algorithms: A Modern Approach - Genial Code<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/genial-code.com\/deep-learning-a-modern-approach\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Deep Learning Algorithms: A Modern Approach - Genial Code\" \/>\n<meta property=\"og:url\" content=\"https:\/\/genial-code.com\/deep-learning-a-modern-approach\/\" \/>\n<meta property=\"og:site_name\" content=\"Genial Code\" \/>\n<meta property=\"article:published_time\" content=\"2021-07-25T16:38:05+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-11-28T11:59:09+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/genial-code.com\/wp-content\/uploads\/2021\/07\/DL.png\" \/>\n\t<meta property=\"og:image:width\" content=\"391\" \/>\n\t<meta property=\"og:image:height\" content=\"208\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"genialcode\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"genialcode\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/genial-code.com\/deep-learning-a-modern-approach\/\",\"url\":\"https:\/\/genial-code.com\/deep-learning-a-modern-approach\/\",\"name\":\"Deep Learning Algorithms: A Modern Approach - Genial Code\",\"isPartOf\":{\"@id\":\"https:\/\/genial-code.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/genial-code.com\/deep-learning-a-modern-approach\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/genial-code.com\/deep-learning-a-modern-approach\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/genial-code.com\/wp-content\/uploads\/2021\/07\/DL.png\",\"datePublished\":\"2021-07-25T16:38:05+00:00\",\"dateModified\":\"2023-11-28T11:59:09+00:00\",\"author\":{\"@id\":\"https:\/\/genial-code.com\/#\/schema\/person\/9180609fb3eeb1144d23e2be1b52d30a\"},\"description\":\"Dive into the world of Deep Learning Algorithms. 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