I’m wondering if anyone else has run across this error.
It’s happening on Lesson2.ipynb, with the line
fit_model(model, batches, val_batches, nb_epoch=2),
after
gen=image.ImageDataGenerator() batches = gen.flow(trn_data, trn_labels, batch_size=batch_size, shuffle=True) val_batches = gen.flow(val_data, val_labels, batch_size=batch_size, shuffle=False)
and
def fit_model(model, batches, val_batches, nb_epoch=1): model.fit_generator(batches, samples_per_epoch=batches, nb_epoch=nb_epoch, validation_data=val_batches, nb_val_samples=val_batches).
I’m thinking it might have something to do with the fact that I’m using a more recent version of VGG whereas things were different when Lesson 2 was originally created. And/or I’ve upgraded Keras in between then and now.
Obviously there is something funky happening with the generator…not sure how to approach it though. Makes sense that you can’t compare and int with a generator object…
