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Mahdi Dibaiee 2017-04-02 16:51:57 +04:30
parent 7892141699
commit f20b1aa222

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@ -8,9 +8,8 @@ Training process is pretty fast as there is no backpropagation, and is not very
Here is a demonstration of the model before training and after ~3000 iterations (less than an hour of training):
Before training:
![before training](/demo/flappy-lose.gif)
[Before training](/demo/flappy-lose.gif)
[After training:](/demo/flappy-success.gif)
![after training](/demo/flappy-success.gif)
For each frame the bird stays alive, +1 score is given to him. For each wall he passes, +10 score is given.