Show progress bar for each epoch during batchwise training in Keras

Question

When I load the whole dataset in memory and train the network in Keras using following code:

model.fit(X, y, nb_epoch=40, batch_size=32, validation_split=0.2         


        

Answer 1

tqdm (version >= 4.41.0) has also just added built-in support for keras so you could do:

from tqdm.keras import TqdmCallback
...
model.fit(..., verbose=0, callbacks=[TqdmCallback(verbose=2)])

This turns off keras' progress (verbose=0), and uses tqdm instead. For the callback, verbose=2 means separate progressbars for epochs and batches. 1 means clear batch bars when done. 0 means only show epochs (never show batch bars).