What trainers does PyBrain offer

This recipe explains what trainers does PyBrain offer

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Recipe Objective - What trainers does PyBrain offer?

PyBrain supports two trainers:

1. BackpropTrainer:
BackpropTrainer is a trainer that trains the parameters of a module according to a monitored data set or ClassificationDataSet (possibly sequentially), propagating errors backward (over time).
2. TrainUntilConvergence:
TrainUntilConvergence is used to train the module on the dataset until it converges.

Explore the Real-World Applications of Recommender Systems  
When we create a neural network, it trains based on the training data provided to it. Whether the network is adequately trained depends on the prediction of the test data tested on that network.
Let's take a step-by-step look at a working example that builds a neural network and predicts training errors, test errors, and validation errors.

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