Synopsis
Chapter 1: Introduction PyTorch, Tensors, Tensor Operations and Basics.-
Chapter 2: Probability distributions using PyTorch.-
Chapter 3: Convolutional Neural Network and RNN using PyTorch.-
Chapter 4: Introduction to Neural Networks, Tensor Differentiation .-
Chapter 5: Supervised Learning using PyTorch.-
Chapter 6: Fine Tuning Deep Learning Algorithms using PyTorch.-
Chapter 7: NLP and Text Processing using PyTorch.-"synopsis" may belong to another edition of this title.
