{"id":55170,"date":"2023-08-28T07:08:44","date_gmt":"2023-08-28T07:08:44","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/ad3501-deep-learning-syllabus-for-aids-2021-regulation\/"},"modified":"2023-08-28T07:08:44","modified_gmt":"2023-08-28T07:08:44","slug":"ad3501-deep-learning-syllabus-for-aids-2021-regulation","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/ad3501-deep-learning-syllabus-for-aids-2021-regulation\/","title":{"rendered":"AD3501: Deep Learning syllabus for AI&DS 2021 regulation"},"content":{"rendered":"

Deep Learning detailed syllabus for Artificial Intelligence & Data Science (AI&DS) for 2021 regulation curriculum has been taken from the Anna University<\/a> official website and presented for the AI&DS 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 Artificial Intelligence & Data Science 5th Sem scheme and its subjects, do visit AI&DS 5th Sem 2021 regulation scheme<\/a>. The detailed syllabus of deep learning is as follows. <\/p>\n

Course Objectives:<\/h4>\n

Download the iStudy App for all syllabus and other updates.<\/a>
\"Get<\/a><\/h4>\n

Unit I<\/h4>\n

DEEP NETWORKS BASICS
\nLinear Algebra: Scalars — Vectors — Matrices and tensors; Probability Distributions — Gradientbased Optimization – Machine Learning Basics: Capacity — Overfitting and underfitting -Hyperparameters and validation sets — Estimators — Bias and variance — Stochastic gradient descent — Challenges motivating deep learning; Deep Networks: Deep feedforward networks; Regularization — Optimization.\n<\/p>\n

Unit II<\/h4>\n

CONVOLUTIONAL NEURAL NETWORKS
\nConvolution Operation — Sparse Interactions — Parameter Sharing — Equivariance — Pooling -Convolution Variants: Strided — Tiled — Transposed and dilated convolutions; CNN Learning: Nonlinearity Functions — Loss Functions — Regularization — Optimizers –Gradient Computation.\n<\/p>\n

Unit III<\/h4>\n

Download the iStudy App for all syllabus and other updates.<\/a>
\"Get<\/a><\/h4>\n

Unit IV<\/h4>\n

MODEL EVALUATION
\nPerformance metrics — Baseline Models — Hyperparameters: Manual Hyperparameter — Automatic Hyperparameter — Grid search — Random search — Debugging strategies.\n<\/p>\n

Unit V<\/h4>\n

AUTOENCODERS AND GENERATIVE MODELS
\nAutoencoders: Undercomplete autoencoders — Regularized autoencoders — Stochastic encoders and decoders — Learning with autoencoders; Deep Generative Models: Variational autoencoders -Generative adversarial networks.\n<\/p>\n

Course Outcomes:<\/h4>\n

After the completion of this course, students will be able to:<\/p>\n

    \n
  1. Explain the basics in deep neural networks<\/li>\n
  2. Apply Convolution Neural Network for image processing<\/li>\n
  3. Apply Recurrent Neural Network and its variants for text analysis<\/li>\n
  4. Apply model evaluation for various applications<\/li>\n
  5. Apply autoencoders and generative models for suitable applications<\/li>\n<\/ol>\n

    Text Books:<\/h4>\n

    Download the iStudy App for all syllabus and other updates.<\/a>
    \"Get<\/a><\/h4>\n

    Reference Books:<\/h4>\n
      \n
    1. Salman Khan, Hossein Rahmani, Syed Afaq Ali Shah, Mohammed Bennamoun, ”A Guide to Convolutional Neural Networks for Computer Vision”, Synthesis Lectures on Computer Vision, Morgan & Claypool publishers, 2018.<\/li>\n
    2. Yoav Goldberg, ”Neural Network Methods for Natural Language Processing”, Synthesis Lectures on Human Language Technologies, Morgan & Claypool publishers, 2017.<\/li>\n
    3. Francois Chollet, ”Deep Learning with Python”, Manning Publications Co, 2018.<\/li>\n
    4. Charu C. Aggarwal, ”Neural Networks and Deep Learning: A Textbook”, Springer International Publishing, 2018.<\/li>\n
    5. Josh Patterson, Adam Gibson, ”Deep Learning: A Practitioner’s Approach”, O’Reilly Media, 2017.<\/li>\n<\/li>\n<\/ol>\n

      For detailed syllabus of all other subjects of Artificial Intelligence & Data Science, 2021 regulation curriculum do visit AI&DS 5th Sem subject syllabuses for 2021 regulation<\/a>. <\/p>\n

      For all Artificial Intelligence & Data Science results, visit Anna University AI&DS all semester results<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"

      Deep Learning detailed syllabus for Artificial Intelligence & Data Science (AI&DS) for 2021 regulation curriculum has been taken from the Anna University official website and presented for the AI&DS students. […]<\/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":[48,144],"tags":[],"class_list":["post-55170","post","type-post","status-publish","format-standard","hentry","category-5th-sem","category-aids"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/55170","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=55170"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/55170\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=55170"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=55170"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=55170"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}