TicTacToe
neuro-symbolic-sudoku-solver
| TicTacToe | neuro-symbolic-sudoku-solver | |
|---|---|---|
| 3 | 1 | |
| 4 | 66 | |
| - | - | |
| 2.0 | 0.0 | |
| 9 months ago | over 2 years ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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TicTacToe
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Neural networks fundamentals with Python – a guide to implementing your first neural network from scratch
I have a similar ML library for a generic NN made from scratch, with many parameters to customize it, I just finished it last week, I also mostly based myself in the 3b1b videos.
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I created an AI for Super Hexagon based on Distributional RL. And I dare to call it superhuman :D
Also, does this have a particular reason? I've seen this in GAE-implementations but never for DQL.
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HELP! Stuck with a reinforcement learning experiment.
I built a general purpose basic ML library that creates a Neural Network (only DENSE layers), saves and loads the weights into a file, does forward propagation and training (optimization of weights and biases) using SGD (code here). I tested the ML library with the XOR problem to make sure it worked fine (code here).
neuro-symbolic-sudoku-solver
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Neuro-Symbolic Sudoku Solver
Github: https://github.com/ashutosh1919/neuro-symbolic-sudoku-solver
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