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» Neural Network Trained to play The Snake using a genetic algorithm
The neural network has an input layer of 24 neurons, 2 hidden layers of 16 neurons, and one output layer of 4 neurons. Note: Network can now be customized with the number of hidden layers as well as the number of neurons in the hidden layers.
The snake can see in 8 directions. In each of these directions the snake looks for 3 things:
Distance to food
Distance to its own body
Distance to a wall
3 x 8 directions = 24 inputs. The 4 outputs are simply the directions the snake can move.
GitHub Repo: https://lnkd.in/gFTA8md
Credit: Greer Viau
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