{"id":33229,"date":"2021-05-21T08:12:17","date_gmt":"2021-05-21T08:12:17","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/it5039-deep-learning-syllabus-for-it-7th-sem-2019-regulation-anna-university-professional-elective-iv\/"},"modified":"2021-05-21T08:12:17","modified_gmt":"2021-05-21T08:12:17","slug":"it5039-deep-learning-syllabus-for-it-7th-sem-2019-regulation-anna-university-professional-elective-iv","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/it5039-deep-learning-syllabus-for-it-7th-sem-2019-regulation-anna-university-professional-elective-iv\/","title":{"rendered":"IT5039: Deep Learning Syllabus for IT 7th Sem 2019 Regulation Anna University (Professional Elective-IV)"},"content":{"rendered":"

Deep Learning detailed syllabus for Information Technology (IT) for 2019 regulation curriculum has been taken from the Anna Universities<\/a> official website and presented for the IT students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below. <\/p>\n

For Information Technology 7th Sem scheme and its subjects, do visit IT 7th Sem 2019 regulation scheme<\/a>. For Professional Elective-IV scheme and its subjects refer to IT Professional Elective-IV syllabus scheme<\/a>. The detailed syllabus of deep learning is as follows. <\/p>\n

Deep Learning<\/title><\/p>\n<h4>Course Objective:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Unit I<\/h4>\n<p align=\"justify\">\n <strong>Basics of Neural Networks<\/strong><br \/>\n Basic Concept of Neurons – Perceptron Algorithm – Feed Forward and Backpropagation Networks.<\/p>\n<p><i>Suggested Activities:<\/i>\n <\/p>\n<ul>\n<li>Discussion of role of neural networks.<\/li>\n<li>External learning – Boltzmann Machine, perceptron.<\/li>\n<li>Practical – Implementation of simple neural network in Matlab<\/li>\n<\/ul>\n<p><i>Suggested Evaluation Methods:<\/i>\n <\/p>\n<ul>\n<li>Tutorials on perceptron.<\/li>\n<li>Assignments on backpropagation networks.<\/li>\n<li>Quizzes on neural networks.<\/li>\n<\/ul>\n<h4>Unit II<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Unit III<\/h4>\n<p align=\"justify\">\n <strong>Convolutional Neural Networks<\/strong><br \/>\n CNN Architectures – Convolution – Pooling Layers – Transfer Learning – Image Classification using Transfer Learning – Recurrent and Recursive Nets – Recurrent Neural Networks – Deep Recurrent Networks – Recursive Neural Networks – Applications.<\/p>\n<p><i>Suggested Activities:<\/i>\n <\/p>\n<ul>\n<li>Discussion of role of convolutional networks in Machine Learning.<\/li>\n<li>External learning – Concept of convolution and need for Pooling.<\/li>\n<\/ul>\n<p><i>Suggested Evaluation Methods:<\/i>\n <\/p>\n<ul>\n<li>Tutorials on image classification and recurrent nets.<\/li>\n<li>Assignments on image classification performances.<\/li>\n<li>Quizzes on convolutional neural networks.<\/li>\n<\/ul>\n<h4>Unit IV<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Unit V<\/h4>\n<p align=\"justify\">\n <strong>Applications of Deep Learning<\/strong><br \/>\n Images segmentation – Object Detection – Automatic Image Captioning – Image generation with Generative adversarial networks – Video to Text with LSTM models – Attention models for Computer Vision – Case Study: Named Entity Recognition – Opinion Mining using Recurrent Neural Networks – Parsing and Sentiment Analysis using Recursive Neural Networks – Sentence Classification using Convolutional Neural Networks – Dialogue Generation with LSTMs.<\/p>\n<p><i>Suggested Activities:<\/i>\n <\/p>\n<ul>\n<li>Discussion of role of deep learning in image and NLP applications.<\/li>\n<li>External learning – NLP concepts.<\/li>\n<li>Practical – Implementation of simple deep learning for object detection and recognition in images.<\/li>\n<\/ul>\n<p><i>Suggested Evaluation Methods:<\/i>\n <\/p>\n<ul>\n<li>Tutorials on images segmentation.<\/li>\n<li>Assignments on parsing and sentiment analysis.<\/li>\n<li>Quizzes on deep learning applications<\/li>\n<\/ul>\n<h4>Course Outcome:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.<\/b><br \/><a class=\"rank-math-link\" href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Text Books:<\/h4>\n<p align=\"justify\">\n<ol>\n<li>Ian J. Goodfellow, Yoshua Bengio, Aaron Courville, “Deep Learning”, MIT Press, 2017.<\/li>\n<li>Francois Chollet, “Deep Learning with Python”, Manning Publications, 2018<\/li>\n<\/ol>\n<h4>References:<\/h4>\n<p align=\"justify\">\n<ol>\n<li>Phil Kim, “Matlab Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence”, Apress, 2017.<\/li>\n<li>Ragav Venkatesan, Baoxin Li, “Convolutional Neural Networks in Visual Computing”, CRC Press, 2018.<\/li>\n<li>Navin Kumar Manaswi, “Deep Learning with Applications Using Python”, Apress, 2018.<\/li>\n<li>Joshua F. Wiley, “R Deep Learning Essentials”, Packt Publications, 2016.<\/li>\n<\/ol>\n<p align=\"justify\">For detailed syllabus of all the other subjects of Information Technology 7th Sem, visit <a class=\"rank-math-link\" href=\"..\/category\/it+7th-sem\">IT 7th Sem subject syllabuses for 2019 regulation<\/a>. <\/p>\n<p align=\"justify\">For all Information Technology results, visit <a class=\"rank-math-link\" href=\"https:\/\/www.inspirenignite.com\/anna-university\/anna-university-results\/\">Anna University IT all semester results<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Deep Learning detailed syllabus for Information Technology (IT) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the IT students. For course code, […]<\/p>\n","protected":false},"author":2297,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[72],"tags":[],"class_list":["post-33229","post","type-post","status-publish","format-standard","hentry","category-it"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/33229","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/users\/2297"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/comments?post=33229"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/33229\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=33229"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=33229"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=33229"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}