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from keras_tqdm import TQDMNotebookCallback | |
batch_size = 32 | |
history = model.fit_generator( | |
generator=training, | |
steps_per_epoch=training.samples // batch_size, | |
epochs=10, | |
callbacks=[TQDMNotebookCallback(leave_inner=True, leave_outer=True)], | |
validation_data=validation, | |
validation_steps=validation.samples // batch_size | |
) |
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