model.fit中的validation_data的作用

model.fit中的validation_data的作用

一、总结

一句话总结：

Data on which to evaluate the loss and any model metrics at the end of each epoch.

Data on which to evaluate the loss and any model metrics at the end of each epoch. The model will not be trained on this data. Thus, note the fact that the validation loss of data provided using validation_split or validation_data is not affected by regularization layers like noise and dropuout. validation_data will override validation_split. validation_data could be:
tuple (x_val, y_val) of Numpy arrays or tensors
tuple (x_val, y_val, val_sample_weights) of Numpy arrays
dataset For the first two cases, batch_size must be provided. For the last case, validation_steps could be provided. Note that validation_data does not support all the data types that are supported in x, eg, dict, generator or keras.utils.Sequence.

 

 

二、内容在总结中

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