Awesome
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]