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when training, whole sequence is put into the net and loss is calculated at once.
in sample_validation_data, loss is accumulated every step.
can you explain why you did this and what difference it makes?
thank you.
The text was updated successfully, but these errors were encountered:
when training, whole sequence is put into the net and loss is calculated at once.
in sample_validation_data, loss is accumulated every step.
can you explain why you did this and what difference it makes?
thank you.
The text was updated successfully, but these errors were encountered: