A few examples which explain how LightBulb should be used.
A first basic example how to train a neural network to simulate a xor calculator. To achieve that a simple gradient descent algorithm is used.
A simple example how to use evolution in LightBulb. Our goal is to find the global minimum of the six-hump camel-back function.
A simple example how to use coevolution in LightBulb. Our goal is to learn a network to play pong.
A example how to use reinforcement learning in LightBulb. We will try to learn pong to our AI with DQN Learning.