Intro au Learning
Quelques Bons Exposés sur le Deep Learning
Leçon inaugurale de Yann Lecun au collège de France
les Math de l'intelligence, par Alain Tapp
Cours Universitaires
http://ai.berkeley.edu/lecture_slides.html
https://github.com/janishar/mit-deep-learning-book-pdf
(MIT Book)
https://web.stanford.edu/class/psych209/Readings/SuttonBartoIPRLBook2ndEd.pdf
(RL)
Intro à TensorFlow
http://playground.tensorflow.org/
https://www.youtube.com/watch?v=ru9dXF04iSE
https://github.com/Hvass-Labs/TensorFlow-Tutorials
Programmer avec TensorFlow & Keras
Tutoriel Sympa sur Keras :
https://machinelearningmastery.com/tutorial-first-neural-network-python-keras/
https://machinelearningmastery.com/how-to-choose-loss-functions-when-training-deep-learning-neural-networks/
https://machinelearningmastery.com/adam-optimization-algorithm-for-deep-learning/
https://www.youtube.com/watch?v=O9yl9KKKoQI
Keras :
https://www.tensorflow.org/guide/keras/overview
(pip3 install keras)
Gym (game simulator) :
https://gym.openai.com/
(pip3 install gym atari_py)
quick start colab
Deep Q Learning (DQN) avec Keras+Gym : Cart Pole Sample
https://keon.io/deep-q-learning/
https://medium.com/@gtnjuvin/my-journey-into-deep-q-learning-with-keras-and-gym-3e779cc12762
Atari 2600
Playing Atari with Deep Reinforcement Learning, Deepmind.com (2013).
https://arxiv.org/pdf/1312.5602.pdf
Learning from the memory of Atari 2600 (2016).
https://deepsense.ai/playing-atari-on-ram-with-deep-q-learning/
https://github.com/sygi/deep_q_rl
https://cdn-sv1.deepsense.ai/wp-content/uploads/2016/09/1605.01335v1-4.pdf
DQN : Atari Breakout examples
https://becominghuman.ai/lets-build-an-atari-ai-part-1-dqn-df57e8ff3b26
https://github.com/rbrigden/breakout-ram-dqn
https://towardsdatascience.com/tutorial-double-deep-q-learning-with-dueling-network-architectures-4c1b3fb7f756
https://github.com/andi611/DQN-Deep-Q-Network-Atari-Breakout-Tensorflow
https://deepsense.ai/playing-atari-on-ram-with-deep-q-learning/
…
Reinforcement Learning + Keras + Atari :
https://github.com/rlcode/reinforcement-learning
DDQN + Genetic
https://towardsdatascience.com/atari-reinforcement-learning-in-depth-part-1-ddqn-ceaa762a546f
https://towardsdatascience.com/atari-solving-games-with-ai-part-2-neuroevolution-aac2ebb6c72b
About Graph
Graph Representation Learning:
https://www.youtube.com/watch?v=YrhBZUtgG4E
GCN :
https://towardsdatascience.com/how-to-do-deep-learning-on-graphs-with-graph-convolutional-networks-7d2250723780
https://rlgm.github.io/papers/41.pdf
Semi-Supervised Classification with Graph Convolutional Networks:
https://arxiv.org/abs/1609.02907
Fun!
https://github.com/greerviau/SnakeAI
+
https://www.youtube.com/watch?v=zIkBYwdkuTk
Alpha Toe
https://github.com/DanielSlater/AlphaToe
https://www.youtube.com/watch?v=Meb5hApAnj4
Chaîne Youtube de T. Neveu