AI learns to play tetris
The goal of this project was to create artificial intelligence Model that learns to play Tetris using a convolutional neural network.
It wasn't an easy task, and the biggest challenge was how to generate a high-quality dataset to train the network.
The final result shows that predictions from a trained model are not always 100% accurate, but still quite acceptable to play Tetris pretty well.
Due to the variability of the real world, the network doesn't know how to handle all situations. It then makes stupid mistakes that ultimately lead to the loss of the game.
More details about making this project, you can find on the official website.
The source code will be available on Github as soon as possible.
Comment send for source code.
A simple project by Zaryab Rahman
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