{"id":54988,"date":"2023-08-27T04:03:30","date_gmt":"2023-08-27T04:03:30","guid":{"rendered":"https:\/\/www.inspirenignite.com\/anna-university\/cei357-deep-and-reinforcement-learning-syllabus-for-eie-2021-regulation-professional-elective-viii\/"},"modified":"2023-08-27T04:03:30","modified_gmt":"2023-08-27T04:03:30","slug":"cei357-deep-and-reinforcement-learning-syllabus-for-eie-2021-regulation-professional-elective-viii","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/anna-university\/cei357-deep-and-reinforcement-learning-syllabus-for-eie-2021-regulation-professional-elective-viii\/","title":{"rendered":"CEI357: Deep and Reinforcement Learning syllabus for EIE 2021 regulation (Professional Elective-VIII)"},"content":{"rendered":"

Deep and Reinforcement Learning detailed syllabus for Electronics & Instrumentation Engineering (EIE) for 2021 regulation curriculum has been taken from the Anna Universities<\/a> official website and presented for the EIE 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 Electronics & Instrumentation Engineering 6th Sem scheme and its subjects, do visit EIE 6th Sem 2021 regulation scheme<\/a>. For Professional Elective-VIII scheme and its subjects refer to EIE Professional Elective-VIII syllabus scheme<\/a>. The detailed syllabus of deep and reinforcement 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

MACHINE LEARNING BASICS
\nLearning algorithms, Maximum likelihood estimation, Building machine learning algorithm, Neural Networks Multilayer Perceptron, Back-propagation algorithm and its variants Stochastic gradient decent, Curse of Dimensionality.\n<\/p>\n

Unit II<\/h4>\n

INTRODUCTION TO DEEP LEARNING & ARCHITECTURES
\nMachine Learning Vs. Deep Learning, Representation Learning, Width Vs. Depth of Neural Networks, Activation Functions: RELU, LRELU, ERELU, Unsupervised Training of Neural Networks, Restricted Boltzmann Machines, Auto Encoders.\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

SEQUENCE MODELLING – RECURRENT AND RECURSIVE NETS
\nRecurrent Neural Networks, Bidirectional RNNs – Encoder-decoder sequence to sequence architechures – BPTT for training RNN, Long Short Term Memory Networks.\n<\/p>\n

Unit V<\/h4>\n

AUTO ENCODERS AND DEEP GENERATIVE MODELS
\nDeep Belief networks – Boltzmann Machines – Deep Boltzmann Machine – Generative AdversialNetworks.<\/p>\n

Skill Development Activities<\/h4>\n

(Group Seminar\/Mini Project\/Assignment\/Content\tPreparation \/ Quiz\/ Surprise Test \/ Solving GATE questions\/ etc)<\/p>\n

    \n
  1. Fundamentals of machine learning<\/li>\n
  2. Fundamentals of deep learning<\/li>\n
  3. Realization and understanding of CNN<\/li>\n
  4. Time series forecasting for data<\/li>\n
  5. Generating of synthetic images<\/li>\n<\/ol>\n

    Course Outcomes:<\/h4>\n

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

    Text Books:<\/h4>\n
      \n
    1. Ian Goodfellow, Yoshua Bengio and Aaron Courville, \u00ef\u00bf\u00bd Deep Learning\u00ef\u00bf\u00bd, MIT Press, 2017.<\/li>\n
    2. Josh Patterson, Adam Gibson “Deep Learning: A Practitioner’s Approach”, O’Reilly Media, 2017.<\/li>\n<\/ol>\n

      Reference Books:<\/h4>\n
        \n
      1. Umberto Michelucci \u00ef\u00bf\u00bdApplied Deep Learning. A Case-based Approach to Understanding Deep Neural Networks\u00ef\u00bf\u00bd Apress, 2018.<\/li>\n
      2. Kevin P. Murphy “Machine Learning: A Probabilistic Perspective”, The MIT Press, 2012.<\/li>\n
      3. Ethem Alpaydin,”Introduction to Machine Learning\u00ef\u00bf\u00bd, MIT Press, Prentice Hall of India, Third Edition 2014.<\/li>\n
      4. Rezaul Karim, Ahmed Menshawy “Deep Learning with TensorFlow: Explore neural networks with Python”, Packt Publisher, 2017.<\/li>\n<\/ol>\n

        List of Open Source Software\/ Learning Website:<\/h4>\n
          \n
        1. https:\/\/www.techtarget.com\/searchenterpriseai\/definition\/machine-learning-ML<\/li>\n
        2. https:\/\/www.techtarget.com\/searchenterpriseai\/definition\/deep-learning-deep-neural-network<\/li>\n
        3. https:\/\/www.simplilearn.com\/tutorials\/deep-learning-tutorial\/rnn<\/li>\n
        4. https:\/\/machinelearningmastery.com\/what-are-generative-adversarial-networks-gans\/<\/li>\n<\/li>\n<\/ol>\n

          For detailed syllabus of all the other subjects of Electronics & Instrumentation Engineering 6th Sem, visit EIE 6th Sem subject syllabuses for 2021 regulation<\/a>. <\/p>\n

          For all Electronics & Instrumentation Engineering results, visit Anna University EIE all semester results<\/a> direct link. <\/p>\n","protected":false},"excerpt":{"rendered":"

          Deep and Reinforcement Learning detailed syllabus for Electronics & Instrumentation Engineering (EIE) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the EIE […]<\/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":[75],"tags":[],"class_list":["post-54988","post","type-post","status-publish","format-standard","hentry","category-eie"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/54988","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=54988"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/posts\/54988\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/media?parent=54988"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/categories?post=54988"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/anna-university\/wp-json\/wp\/v2\/tags?post=54988"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}