Deep Learning

Course: Deep Learning

Course Content

Module 1:  Introduction and Universal Approximation

Module 2: Training Multilayer Perceptron

Module 3:  Stochastic Gradient Descent and Optimizers

Module 4:  Basics of Convolutional Neural Networks (CNNs)

Module 5: CNNs: Training and Variants

Module 6:  Basics of Recurrent Neural Networks (RNNs)

Module 7: Temporal Classification and Sequence-to-Sequence Models

Module 7: Natural language processing (NLP) 

Module 9:  Autoencoders

Module 10:  Transformers and Graph Networks, Variational Autoencoders, Generative Adversarial Networks