Introduction to Deep Learning with PyTorch Chapter 1: Introduction Chapter 2: Gradient Descent Chapter 3: PyTorch Tensors [3.1] Introduction [3.2] Installing PyTorch [3.3] Let's create tensors! [3.4] Quiz - Tensor Initialisation [3.5] Let's play with tensors! [3.6] Quick exercises [3.7] Useful tensor methods [3.8] Reshaping tensors [3.9] Concatenating tensors [3.10] Extracting sub-tensors [3.11] Quiz - Manipulating 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 3 PyTorch Tensors Rough estimated time needed40 mins (including exercises)