Introduction to Deep Learning with PyTorch Chapter 1: Introduction [1.1] Plan [1.2] Non-examinable Material Chapter 2: Gradient Descent Chapter 3: PyTorch Tensors Chapter 4: PyTorch for Automatic Gradient Descent Chapter 5: Training a Linear Model with PyTorch Chapter 6: Introduction to Deep Learning Chapter 7: Building and Training a simple Classification Model Chapter 8: Building and Training an AutoEncoder Chapter 9: Summary Chapter 1 Introduction Rough estimated time needed5 mins