Syllabus

Introduction to Neural network and Back propagation-Basics of Tensor flow and Keras-Details on Convolutional Neural Networks and types of different convolutions-recent topics in Recurrent Neural Net-works, LSTM, GRUs-Time series Processing-Details of Transformer Networks for text and Vision- Instance and Semantic Segmentation-Generative Models, VAE-Deep Generative Adversarial Networks- Model Interpretation etc.