Login to filter by course Login to filter by course Reset
Seq2Seq Models: Attention vs. No AttentionExplores Seq2Seq models with and without attention mechanisms, covering encoder-decoder architecture, context vectors, decoding processes, and different types of attention mechanisms.
Neural Networks: Multilayer PerceptronsCovers Multilayer Perceptrons, artificial neurons, activation functions, matrix notation, flexibility, regularization, regression, and classification tasks.
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 Neural NetworksCovers the back-propagation algorithm for deep neural networks and the importance of locality in CNN.
Deep Learning FundamentalsIntroduces deep learning fundamentals, covering data representations, neural networks, and convolutional neural networks.
Model AnalysisExplores neural model analysis in NLP, covering evaluation, probing, and ablation studies to understand model behavior and interpretability.