From 8ed8b14c76193505c014b0c3ea6b6151a6277759 Mon Sep 17 00:00:00 2001 From: Mahdi Dibaiee Date: Sun, 2 Apr 2017 16:54:32 +0430 Subject: [PATCH] style --- README.md | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 6fba5b9..d9f6123 100644 --- a/README.md +++ b/README.md @@ -8,10 +8,12 @@ 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](/demo/flappy-lose.gif) [After training:](/demo/flappy-success.gif) + ![after training](/demo/flappy-success.gif) +[Before training](/demo/flappy-lose.gif) + For each frame the bird stays alive, +1 score is given to him. For each wall he passes, +10 score is given. Try it yourself