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