Deep Learning

• Gradient Descent
• Momentum-Based Optimization
• Stochastic and Mini-Batch Gradient Descent
• Overfitting
• Convolutional Neural Networks (CNN)
• Autoencoders
• RNN and LSTM
• Augmenting Recurrent Networks with Attention
• Memory Augmented Neural Networks
• Deep Reinforcement Learning

Reference Texts

• Nikhil Buduma, Nicholas Locascio, Fundamentals of Deep Learning: designing Next generation Machine Intelligence Algorithms, O'ReilyMedia, 2017
• Ian Goodfellow, YoushuaBengio, Aaron Courville, Deep Learning, The MIT Press, 2016
• Charu C.Agarwal, Neural Networks and Deep Learning: A Textbook, Springer, 2018
• Eli Stevens, Luca Antiga, and Thomas Vichmann, Deep Learning with PyTorch, Manning Publications Co., 2020
• Mohit Sewak, Deep Reinforcement Learning: Frontiers of Artificial Intelligence, Springer Nature Singapore Pvt Ltd. 2019