What types of networks does PyBrain offer

This recipe explains what types of networks does PyBrain offer

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Recipe Objective - What types of networks does PyBrain offer?

PyBrain is a modular machine learning library for Python. Its goal is to offer flexible, easy-to-use yet powerful algorithms for machine learning tasks and various predefined environments to test and compare your algorithms.

A network consists of modules that are connected by links. Pybrain supports neural networks like FeedForward Network, Recurrent Network, etc.

1. Feedforward Network: It is a neural network in which information moves between nodes and never goes back. The feedforward network is the first and most straightforward among the networks available in the artificial neural network. Information is transmitted from the input nodes together with the hidden nodes and then to the output node.

2. Recurring networks: They are similar to the feed-through network; the only difference is that you must remember the data at each step. The history of each step must be saved.
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