Reinforcement learning is a type of machine learning where there is constant feedback given to the model to adapt to the environment. There is a performance evaluation at each step to improve the model. For neural networks, there is a special type called Q-learning, combined with neuron to implement reinforcement learning in the backpropagation feedback mechanism. The details are out of scope of this book.

The following are the three types of learnings we have covered so far: