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learning:intro [2019/12/08 09:49] orellearning:intro [2022/03/09 09:05] orel
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   * http://ai.berkeley.edu/lecture_slides.html   * 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 === === Intro à TensorFlow ===
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     * ...     * ...
   * Reinforcement Learning + Keras + Atari : https://github.com/rlcode/reinforcement-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
  
-=== Graph ===+=== About Graph ===
  
   * Graph Representation Learning: https://www.youtube.com/watch?v=YrhBZUtgG4E   * 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! === === Fun! ===
  
-  * https://github.com/greerviau/SnakeAI+  * https://github.com/greerviau/SnakeAI + https://www.youtube.com/watch?v=zIkBYwdkuTk
   * Alpha Toe   * Alpha Toe
     * https://github.com/DanielSlater/AlphaToe     * https://github.com/DanielSlater/AlphaToe
learning/intro.txt · Last modified: 2024/03/18 15:06 by 127.0.0.1