Neural NetworksExplores neural networks, hidden layers, weight adjustments, activation functions, and the universal approximation theorem.
Deep Learning FundamentalsIntroduces deep learning, from logistic regression to neural networks, emphasizing the need for handling non-linearly separable data.
Non-Conceptual Knowledge SystemsDelves into the impact of deep learning on non-conceptual knowledge systems and the advancements in transformers and generative adversarial networks.
Neural Networks OptimizationExplores neural networks optimization, including backpropagation, batch normalization, weight initialization, and hyperparameter search strategies.
Non conceptual knowledge systemsExplores the impact of Deep learning on Digital Humanities, focusing on non conceptual knowledge systems and recent advancements in AI.
