Introduction to Deep Learning with PyTorch Chapter 1: Introduction 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 [8.1] Introduction [8.2] Implementing Simple Auto-Encoder [8.3] Training our Auto-Encoder [8.4] Refactoring our Auto-Encoder [8.5] Summary Chapter 9: Summary Chapter 8 Building and Training an AutoEncoder Rough estimated time needed25 minutes (no exercises)