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 [7.1] Introduction [7.2] Getting Dataset [7.3] Implementing Simple Classifier [7.4] Training our Classifier [7.5] Divide your training dataset in batches! [7.6] Predict Labels of Images [7.7] Improving our Classifier [7.8] Summary Chapter 8: Building and Training an AutoEncoder Chapter 9: Summary Chapter 7 Building and Training a simple Classification Model Rough estimated time needed40 mins (including exercises)