SequentialTrainer

constructor(network: SequentialNetwork, cases: List<Exercise>, lossFunction: LossFunction, optimizer: StatisticalOptimizer)


constructor(network: SequentialNetwork, cases: List<Exercise>, lossFunction: LossFunction, optimizer: Optimizer, statistics: Statistics, acceptableError: Double = 0.001)

Parameters

acceptableError

Once the network reaches this level, it will stop training.