Sequential Trainer
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
acceptable Error
Once the network reaches this level, it will stop training.