Introduction to Deep Learning with PyTorch Chapter 1: Introduction Chapter 2: Gradient Descent Chapter 3: PyTorch Tensors Chapter 4: PyTorch for Automatic Gradient Descent [4.1] Introduction [4.2] 1-dimensional Gradient Descent with torch Tensors [4.3] The Secrets of torch Parameters [4.4] Automatic Gradient Calculation with PyTorch [4.5] Exercise: Gradient Descent with Automatic Gradient [4.6] Automatic Gradient Descent [4.7] Automatic Gradient Descent with PyTorch Optimisers [4.8] Exercise: Automatic Gradient Descent [4.9] Other Gradient Descent Optimization Algorithms 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 4 PyTorch for Automatic Gradient Descent Rough estimated time needed40 mins (including exercises)