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Networks, Recursive Neural Networks, Echo State Networks, LSTM, Gated RNNs, Optimization for
               Long-Term Dependencies, Auto encoders, Deep Generative Models.
               Textbooks:
                   1)  Ian Goodfellow, YoshuaBengio, Aaron Courville, “Deep Learning”, MIT Press,2016.

                   2)  Josh Patterson and Adam Gibson, “Deep learning: A practitioner's approach”, O'Reilly Media,
                       First Edition,2017.

               Reference Books:
                 1)  Fundamentals  of  Deep  Learning,  Designing  next-generation  machine  intelligence  algorithms,
                    Nikhil Buduma, O’Reilly, Shroff Publishers,2019.

                 2)  Deep  learning  Cook  Book,  Practical  recipes  to  get  started  Quickly,  DouweOsinga,  O’Reilly,
                    Shroff Publishers,2019.

































































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