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Course Detail

Course Name Deep Learning
Course Code 18CA452
Program M. C. A., M. C. A. ( Offered at Mysuru Campus )
Credits Three
Year Taught 2018
Degree Postgraduate (PG)
School School of Arts and Sciences, School of Engineering
Campus Kochi, Mysuru, Amritapuri


Historical Trends in Deep Learning, Linear Algebra, Probability and Information theory, Numerical Computation, Machine learning basics

Deep Networks: Deep feedforward networks, Regularization for deep learning, Optimization for training deep models, Convolutional Networks, Sequence modelling: Recurrent and recursive nets, Practical methodology, Applications

Deep Learning Research: Linear factor models, autoencoders, Representation learning, Structured probabilistic models, Monte-Carlo models,

Intro to NLP and Deep Learning, Simple Word Vector representations

Introduction to Tensorflow

Convolutional neural networks- Dynamic Memory Networks.

Text Books

  1. Ian Goodfellow, YoshuaBengio, Aaron Courville, Deep Learning, MIT Press, 2016
  2. Yoav Goldberg, A Primer on Neural Network Models for Natural Language Processing, 2015
  3. Jurafsky, James H. Martin, Speech and Language Processing, 3rd edition, 2017

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