Learning of AssociationsDelves into associative memory, Hebbian learning, and hierarchical organization in neural networks.
Nonlinear Supervised LearningExplores the inductive bias of different nonlinear supervised learning methods and the challenges of hyper-parameter tuning.
Neural Networks: Multilayer PerceptronsCovers Multilayer Perceptrons, artificial neurons, activation functions, matrix notation, flexibility, regularization, regression, and classification tasks.
Deep Learning FundamentalsIntroduces deep learning fundamentals, covering data representations, neural networks, and convolutional neural networks.
Multi-layer Neural NetworksCovers the fundamentals of multi-layer neural networks and the training process of fully connected networks with hidden layers.
