Regarding the number of iterations within each epoch

[wenouyang]

Hi Edward,

Regarding the the main optimization step

model.fit( x_train, [y_train, y_train_2], validation_data=(x_valid, [y_valid, y_valid_2]), batch_size=128, nb_epoch=50, verbose=1, shuffle=True, callbacks=[model_save_best, model_checkpoint, early_s] )

How many iterations within each epoch will it be included? Here, we have about 5635 pairs of training images and training mask images. If batch_size=64, should it be 5635/32 iterations? I did not find a place where this parameter of training_iters are setup. Will it be handled automatically by model.fit?

Thank you very much.

[EdwardTyantov]

Hi, wenouyang. The train data is automatically splitted by batch_size, so in case of batch_size=64 it will be 89 iterations (88 full batches, and final incomplete one)

[wenouyang]

Hi Edward,

Thanks for the reply.

wenouyang