RegressionOutputLayer object, then the loss is If you do not specify validationĭata, then the software does not display this field. Root-mean-squared-error (RMSE) on the mini-batch.
If you do not specify validationĭata, then the function does not display this field.īase learning rate. Is the cross entropy loss for multi-class classification problems If the output layer is aĬlassificationOutputLayer object, then the loss Specify validation data, then the function does not display this Time elapsed in hours, minutes, and seconds.Ĭlassification accuracy on the mini-batch.Ĭlassification accuracy on the validation data. An epoch corresponds to a full pass of the ValidationPatience training option default is InfĮpoch number.trainNetwork pads mini-batches to length of longest sequence before splitting when you specify SequenceLength training option as an integer.Create Training Options for the Adam Optimizer.Set "Free up memory" as a required option and cannot be canceled.įixed an issue where the results of auto-optimization did not disappear.įixed an issue with Timing Optimization in the previous version.
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