NewAdam returns a new Adam solver.

NewBatchTrainer returns a BatchTrainer.

NewSGD returns a new SGD solver.

NewStatsPrinter creates a StatsPrinter.

NewTrainer creates a new trainer.

Adam is an Adam solver.

BatchTrainer implements parallelized batch training.

Example is an input-target pair.

OnlineTrainer is a basic, online network trainer.

SGD is stochastic gradient descent with nesterov/momentum.

StatsPrinter prints training progress.

Solver implements an update rule for training a NN.

Trainer is a neural network trainer.

Examples is a set of input-output pairs.