Deep Learning FundamentalsIntroduces deep learning, from logistic regression to neural networks, emphasizing the need for handling non-linearly separable data.
Nonlinear Supervised LearningExplores the inductive bias of different nonlinear supervised learning methods and the challenges of hyper-parameter tuning.
Multi-layer Neural NetworksCovers the fundamentals of multi-layer neural networks and the training process of fully connected networks with hidden layers.
