enggen / deepmind-advanced-deep-learning-and-reinforcement-learning

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

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]

deepmind-advanced-deep-learning-and-reinforcement-learning's Issues

colab?

hey @enggen, thanks for collating the slides and videos. by any chance you know where the colab notebook codes can be found?

lecture slides

Thanks for sharing part of the lecture slides.

Could you please share the remaining lecture slides? Thanks :)

Karen and Oriol’s lectures missing

Any reason why they were not uploaded? Or are they available elsewhere?