{"id":18720,"date":"2021-11-24T13:59:45","date_gmt":"2021-11-24T13:59:45","guid":{"rendered":"https:\/\/www.inspirenignite.com\/up\/departmental-elective-5-kcs078-deep-learning-it-7th-sem-syllabus-for-aktu-b-tech-2021-22-scheme\/"},"modified":"2021-11-24T13:59:45","modified_gmt":"2021-11-24T13:59:45","slug":"departmental-elective-5-kcs078-deep-learning-it-7th-sem-syllabus-for-aktu-b-tech-2021-22-scheme","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/up\/departmental-elective-5-kcs078-deep-learning-it-7th-sem-syllabus-for-aktu-b-tech-2021-22-scheme\/","title":{"rendered":"(Departmental Elective-5) KCS078: Deep Learning IT 7th Sem Syllabus for AKTU B.Tech 2021-22 Scheme"},"content":{"rendered":"

Deep Learning detail syllabus for Information Technology (IT), 2021-22 scheme is taken from AKTUs<\/a> official website and presented for the AKTU B.Tech students. For the course code (KCS078), exam duration, teaching hr\/week, practical hr\/week, total marks, internal marks, theory marks, duration, credits, and other details do visit complete semester subjects post given below.<\/p>\n

For the IT 7th Sem Syllabus for AKTU B.Tech 2021-22 Scheme you can visit IT 7th Sem 2021-22 Scheme<\/a>. For the Departmental Elective-5 scheme of IT 7th Sem 2021-22 regulation do refer to Departmental Elective-5 IT 7th Sem scheme<\/a>. The detail syllabus for deep learning is as follows.<\/p>\n

Deep Learning<\/title><\/p>\n<h4>Course Outcomes:<\/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\" rel=\"nofollow noopener\" target=\"_blank\">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\" rel=\"nofollow noopener\" target=\"_blank\"><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> INTRODUCTION : Introduction to machine learning- Linear models (SVMs and Perceptrons, logistic regression)- Intro to Neural Nets: What a shallow network computes- Training a network: loss functions, back propagation and stochastic gradient descent- Neural networks as universal function approximates<\/p>\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\" rel=\"nofollow noopener\" target=\"_blank\">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\" rel=\"nofollow noopener\" target=\"_blank\"><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> DIMENTIONALITY REDUCTION 9 Linear (PCA, LDA) and manifolds, metric learning – Auto encoders and dimensionality reduction in networks – Introduction to Convnet – Architectures -AlexNet, VGG, Inception, ResNet – Training a Convnet: weights initialization, batch normalization, hyper parameter optimization<\/p>\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\" rel=\"nofollow noopener\" target=\"_blank\">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\" rel=\"nofollow noopener\" target=\"_blank\"><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> CASE STUDY AND APPLICATIONS : Image net- Detection-Audio Wave Net-Natural Language Processing Word2Vec – Joint Detection-Bioinformatics- Face Recognition- Scene UnderstandingGathering Image Captions<\/p>\n<h4>Text Books:<\/h4>\n<ol>\n<li>Cosma Rohilla Shalizi, Advanced Data Analysis from an Elementary Point of View, 2015.<\/li>\n<li>Deng & Yu, Deep Learning: Methods and Applications, Now Publishers, 2013.<\/li>\n<li>Ian Goodfellow, Yoshua Bengio, Aaron Courville, Deep Learning, MIT Press, 2016.<\/li>\n<li>Michael Nielsen, Neural Networks and Deep Learning, Determination Press, 2015.Mapping with MOOCS: https:\/\/onlinecourses.nptel.ac.in\/noc18_cs41\/preview<\/li>\n<\/ol>\n<p align=\"justify\">For the syllabus of all the subjects of B.Tech IT 7th Sem, 2021-22 scheme do visit <a class=\"rank-math-link\" href=\"..\/category\/it+7th-sem\">IT 7th Sem syllabus subjects<\/a>.<\/p>\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\" rel=\"nofollow noopener\" target=\"_blank\">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\" rel=\"nofollow noopener\" target=\"_blank\"><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","protected":false},"excerpt":{"rendered":"<p>Deep Learning detail syllabus for Information Technology (IT), 2021-22 scheme is taken from AKTUs official website and presented for the AKTU B.Tech students. For the course code (KCS078), exam duration, […]<\/p>\n","protected":false},"author":2300,"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":[61],"tags":[],"class_list":["post-18720","post","type-post","status-publish","format-standard","hentry","category-it"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/posts\/18720","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/users\/2300"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/comments?post=18720"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/posts\/18720\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/media?parent=18720"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/categories?post=18720"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/up\/wp-json\/wp\/v2\/tags?post=18720"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}