Non-Conceptual Knowledge SystemsDelves into the impact of deep learning on non-conceptual knowledge systems and the advancements in transformers and generative adversarial networks.
Convolutional Neural NetworksIntroduces Convolutional Neural Networks (CNNs) for autonomous vehicles, covering architecture, applications, and regularization techniques.
Deep Neural NetworksCovers the back-propagation algorithm for deep neural networks and the importance of locality in CNN.
Neural Networks OptimizationExplores neural networks optimization, including backpropagation, batch normalization, weight initialization, and hyperparameter search strategies.
Long Short-Term Memory NetworksIntroduces Long Short-Term Memory (LSTM) networks as a solution to vanishing and exploding gradients in recurrent neural networks.
Reinforcement Learning ConceptsCovers key concepts in reinforcement learning, neural networks, clustering, and unsupervised learning, emphasizing their applications and challenges.
