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@ -8,10 +8,12 @@ Training process is pretty fast as there is no backpropagation, and is not very
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Here is a demonstration of the model before training and after ~3000 iterations (less than an hour of training):
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[Before training](/demo/flappy-lose.gif)
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[After training:](/demo/flappy-success.gif)
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![after training](/demo/flappy-success.gif)
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[Before training](/demo/flappy-lose.gif)
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For each frame the bird stays alive, +1 score is given to him. For each wall he passes, +10 score is given.
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Try it yourself
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