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Related lectures (31)

Introduction to policy gradient

Introduces policy gradients, optimizing rewards by associating actions with observations.

Sequence to Sequence Models: Overview and Attention Mechanisms

Explores sequence to sequence models, attention mechanisms, and their role in addressing model limitations and improving interpretability.

How Memory Functions

Delves into sensory, short-term, and long-term memory processes, including iconic and echoic memories, rehearsal techniques, and the working memory model.

Long Short-Term Memory Networks Log in to Mediaspace to watch this video

Introduces Long Short-Term Memory (LSTM) networks as a solution to vanishing and exploding gradients in recurrent neural networks.

Machine Translation: Attention Mechanism Log in to Mediaspace to watch this video

Explores the attention mechanism in machine translation, addressing the bottleneck problem and improving NMT performance significantly.

Deep Learning for NLP Log in to Mediaspace to watch this video

Explores deep learning for NLP, covering word embeddings, context representations, learning techniques, and challenges like vanishing gradients and ethical considerations.

Feed-forward Networks Log in to Mediaspace to watch this video

Introduces feed-forward networks, covering neural network structure, training, activation functions, and optimization, with applications in forecasting and finance.

Pre-Training: BiLSTM and Transformer Log in to Mediaspace to watch this video

Delves into pre-training BiLSTM and Transformer models for NLP tasks, showcasing their effectiveness and applications.

Part-of-Speech Tagging: Probabilistic Models Log in to Mediaspace to watch this video

Explores Part-of-Speech tagging using probabilistic models like Hidden Markov Models and discusses the resolution of lexical ambiguities.

Neural Network Syntactic Parsing Log in to Mediaspace to watch this video

Explores neural network-based syntactic parsing with iterative refinement for improved accuracy on complex graphs.

Introduction to Reinforcement Learning: Concepts and Applications Log in to Mediaspace to watch this video

Introduces reinforcement learning, covering its concepts, applications, and key algorithms.

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