scikit-learn : Machine Learning Simplified

Feedforward and feedback artificial neural networks

Artificial neural networks are described by three components. The first is the model's architecture, or topology, which describes the layers of neurons and structure of the connections between them. The second component is the activation function used by the artificial neurons. The third component is the learning algorithm that finds the optimal values of the weights.

There are two main types of artificial neural networks. Feedforward neural networks are the most common type of neural net, and are defined by their directed acyclic graphs. Signals only travel in one direction—towards the output layer—in feedforward neural networks. Conversely, feedback neural networks, or recurrent neural networks, ...