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 [5.1] Problem Definition [5.2] PyTorch Modules [5.3] Vectorising your computations [5.4] Loss Functions as Modules [5.5] Using Linear operator instead of torch.nn.Parameter [5.6] Summary: Final Code and Results 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 5 Training a Linear Model with PyTorch Rough estimated time needed45 mins (including exercises)