How to Create a Chess Engine with TensorFlow (Python) 

Stockfish can already easily defeat any human, as far as I know 😄 And then there's AlphaZero as well... 😱 Still, it's a nice idea, thank you!

Best of luck to you in learning Python! When you come back, feel free to ask any questions!

Thanks! I appreciate your kind comment!

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Glad you like it! Thanks for kind words!

Hey, "TensorFlow" is in the title and on the thumbnail 😁. That's a great idea, thank you! I want to do it, though not in assembly, I'm afraid. But in C/C++ with the usage of GSL for linear algebra, I guess

Hey! Thanks for your support, I appreciate it! ❤ About RAM - yeah, it's a common problem with neural networks, esp. CNNs, because of the size of tensors X and Y. But you can manage it in stages. Just remember, the last layer's size has to match the vocabulary (total number of legal moves in the dataset). This layer must stay fixed-you can't change the NN structure after training. So, start by creating a big array of unique targets (as long as it fits in memory). Once you've fixed the size and set up mappings like int_to_move & move_to_int, you can split X into segments (X_1, X_2, ..., X_n) and train the model iteratively with each segment. It should work fine, but it'll take hours, days, weeks, months... Using multiple computers: Yep, it's possible (called "distributed and parallel training"). TensorFlow and Keras support this approach, though I haven't tried it myself yet (

@@_NickTech Cool! Thanks for the explanation. I would love to see this project turned into a series...

In ML and DL, people usually use Python, unless it's for HFT. Speed was not my primary concern in this project, so coding with Python was much faster and easier. That's it. Typically, drafts are written in Python first and only rewritten in C/C++ if necessary