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--- learning:intro [2019/12/10 07:13] – orel
+++ learning:intro [2022/03/09 09:05] – orel
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   * 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 ===
@@ Line 51: / Line 53: @@
     * 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
+  * 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://github.com/greerviau/SnakeAI + https://www.youtube.com/watch?v=zIkBYwdkuTk
   * Alpha Toe
     * https://github.com/DanielSlater/AlphaToe