How does keras train without disrupting the data set order

I want to train a neural network using keras.

model.fit(trainX, trainY, batch_size=400, epochs=1000,shuffle=False)


I want the model training using the sequence of original data set order, not shuffle.

• That's what 'shuffle=False' is for - could you give us some more detail about what you've tried and what's not working? Apr 25 '19 at 9:09
• Thank you for your reply. when set shuffle=False, the train will using the original data set order? I thought it will disrupt the orginal dataset, but what disrupt will same in every epoch. When set shuffle=true, the disrupt will different in every epoch. Apr 25 '19 at 10:15
• I find 'shuffle=False' is for it, not like what I thought. Apr 26 '19 at 3:21