This is a Neural Network made from scratch in order to learn AI fundamentals and build intuition over it.

This is a spin-off of my Virtual ML Master Course.

It works impressively well. It can play the game flawlessly in 3 to 9 generation with current settings and game-play.

• (runnable!) Find the Flappy-Bird game loop in src/flappy_bird_game/flappy_bird_game.py
• (runnable!) Find the NeuralNet class in src/model/NeuralNet.py;
• Find the genetic (Neural-evolution) algorithm in src/flappy_bird_game/neuro_evolution_algorithm.py
• Find the game constants in src/flappy_bird_game/constants.py
• Play with Ai-bird's brain and how it thinks in Bird.py class.

• So if you run the NeuralNet.py file, it has a XOR test where the net accurately predicts the output of XOR operation
• To run the Flappy-Bird Game, run the file flappy_bird_game.py.
• Hit SPACE to play along with the AI-Birds! the green bird is YOURSELF

This Neural-net is made only with numpy and pygame.

But for those not use to Python: use Anaconda! To create an env in coda, open conda shell and:

• create, activate a conda env called neural-net and install packages

conda create --name suga-neural-net python=3.9
conda activate suga-neural-net
conda install --file=requirements.txt