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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
| Date | Stars |
|---|---|
| 2026-07-31 | 863 |
| 2026-08-01 | 863 |
| 2026-08-02 | 863 |
| 2026-08-06 | 863 |
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# Advanced Deep Learning and Reinforcement Learning ##### Advanced Deep Learning and Reinforcement Learning course taught at [UCL](http://www.cs.ucl.ac.uk/current_students/syllabus/compgi/compgi22_advanced_deep_learning_and_reinforcement_learning/) in partnership with [DeepMind](https://deepmind.com) ## Deep Learning Part ### Deep Learning 1: Introduction to Machine Learning Based AI [[slides]](https://github.com/enggen/Advanced-Deep-Learning-and-Reinforcement-Learning-DeepMind/blob/master/lecture%20slides/dl_01%20Introduction%20to%20Machine%20Learning%20Based%20AI.pdf) [[video]](https://www.youtube.com/watch?v=iOh7QUZGyiU&t=0s&list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs&index=2) ### Deep Learning 2: Introduction to TensorFlow [[slides]](https://github.com/enggen/Advanced-Deep-Learning-and-Reinforcement-Learning-DeepMind/blob/master/lecture%20slides/dl_02%20Introduction%20to%20TensorFlow.pdf) [[video]](https://www.youtube.com/watch?v=JO0LwmIlWw0&list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs&index=2) ### Deep Learning 3: Neural Networks Foundations [[slides]](https://github.com/enggen/Advanced-Deep-Learning-and-Reinforcement-Learning-DeepMind/blob/master/lecture%20slides/dl_03%20Neural%20Networks%20Foundations.pdf) [[video]](https://www.youtube.com/watch?v=5eAXoPSBgnE&index=3&list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs) ### Deep Learning 4: Beyond Image Recognition, End-to-End Learning, Embeddings [[slides]](https://github.com/enggen/Advanced-Deep-Learning-and-Reinforcement-Learning-DeepMind/blob/master/lecture%20slides/dl_04%20Beyond%20Image%20Recognition%2C%20End-to-End%20Learning%2C%20Embeddings.pdf) [[video]](https://www.youtube.com/watch?v=OfKnA91zs9I&list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs&index=8) ### Deep Learning 5: Optimization for Machine Learning [[slides]](https://github.com/enggen/Advanced-Deep-Learning-and-Reinforcement-Learning-DeepMind/blob/master/lecture%20slides/dl_05%20Optimization%20for%20Machine%20Learning.pdf) [[video]](https://www.youtube.com/watch?v=ALdsqfrLieg&list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs&index=11) ### Deep Learning 6: Deep Learning for NLP [[slides]](https://github.com/enggen/Advanced-Deep-Learning-and-Reinforcement-Learning-DeepMind/blob/master/lecture%20slides/dl_06%20Deep%20Learning%20for%20NLP.pdf) [[video]](https://www.youtube.com/watch?v=Y95JwaynE40&list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs&index=13) ### Deep Learning 7. Attention and Memory in Deep Learning [[slides]](https://github.com/enggen/Advanced-Deep-Learning-and-Reinforcement-Learning-DeepMind/blob/master/lecture%20slides/dl_07%20Attention%20and%20Memory%20in%20Deep%20Learning.pdf) [[video]](https://www.youtube.com/watch?v=Q57rzaHHO0k&list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs&index=15) ### Deep Learning 8: Unsupervised learning and generative models [[slides]](https://github.com/enggen/DeepMind-Advanced-Deep-Learning-and-Reinforcement-Learning/blob/master/lecture%20slides/dl_08%20Unsupervised%20learning%20and%20generative%20models.pdf) [[video]](https://www.youtube.com/watch?v=H4VGSYGvJiA&index=17&list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs) ## Reinforcement Learning Part ### Reinforcement Learning 1: Introduction to Reinforcement Learning [[slides]](https://github.com/enggen/Advanced-Deep-Learning-and-Reinforcement-Learning-DeepMind/blob/master/lecture%20slides/rl_01%20Introduction%20to%20Reinforcement%20Learning.pdf) [[video]](https://www.youtube.com/watch?v=ISk80iLhdfU&index=4&list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs) ### Reinforcement Learning 2: Exploration and Exploitation [[slides]](https://github.com/enggen/Advanced-Deep-Learning-and-Reinforcement-Learning-DeepMind/blob/master/lecture%20slides/rl_02%20Exploration%20and%20Exploitation.pdf) [[video]](https://www.youtube.com/watch?v=eM6IBYVqXEA&list=PLqYmG7hTraZDNJre23vqCGIVpfZ_K2RZs&index=5) ### Reinforcement Learning 3: Markov Decision Processes and Dynamic Programming [[slides]](https://github.com/enggen/Advanced-Deep-Learning-and-Reinforcement-Learning-D
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