Feed-forward NetworksIntroduces feed-forward networks, covering neural network structure, training, activation functions, and optimization, with applications in forecasting and finance.
Non-Conceptual Knowledge SystemsDelves into the impact of deep learning on non-conceptual knowledge systems and the advancements in transformers and generative adversarial networks.
Deep Learning FundamentalsIntroduces deep learning, from logistic regression to neural networks, emphasizing the need for handling non-linearly separable data.
Neural Networks OptimizationExplores neural networks optimization, including backpropagation, batch normalization, weight initialization, and hyperparameter search strategies.