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Advanced Deep Learning and Reinforcement Learning

Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with DeepMind

Deep Learning Part

Deep Learning 1: Introduction to Machine Learning Based AI

[slides] [video]

Deep Learning 2: Introduction to TensorFlow

[slides] [video]

Deep Learning 3: Neural Networks Foundations

[slides] [video]

Deep Learning 4: Beyond Image Recognition, End-to-End Learning, Embeddings

[slides] [video]

Deep Learning 5: Optimization for Machine Learning

[slides] [video]

Deep Learning 6: Deep Learning for NLP

[slides] [video]

Deep Learning 7. Attention and Memory in Deep Learning

[slides] [video]

Deep Learning 8: Unsupervised learning and generative models

[slides] [video]

Reinforcement Learning Part

Reinforcement Learning 1: Introduction to Reinforcement Learning

[slides] [video]

Reinforcement Learning 2: Exploration and Exploitation

[slides] [video]

Reinforcement Learning 3: Markov Decision Processes and Dynamic Programming

[slides] [video]

Reinforcement Learning 4: Model-Free Prediction and Control

[slides] [video]

Reinforcement Learning 5: Function Approximation and Deep Reinforcement Learning

[slides] [video]

Reinforcement Learning 6: Policy Gradients and Actor Critics

[slides] [video]

Reinforcement Learning 7: Planning and Models

[slides] [video]

Reinforcement Learning 8: Advanced Topics in Deep RL

[slides] [video]

Reinforcement Learning 9: A Brief Tour of Deep RL Agents

[slides] [video]

Reinforcement Learning 10: Classic Games Case Study

[slides] [video]