Course Information
3.1 Using Logistic Regression for Classification (Parts 1-3)
3.2 The Logistic Regression Computation Graph
3.3 Model Training with Stochastic Gradient Descent (Part 1-4)
3.4 Automatic Differentiation in PyTorch
3.5 The PyTorch API (Parts 1-2)
3.6 Training a Logistic Regression Model in PyTorch – Parts 1-3
3.7 Feature Normalization (Parts 1-2)
Unit 3 Exercises