Dimension Error

[osho-agyeya]

Hi, I tried to apply this on my dataset which has 50 classes and folder structure is correct. But I got an error for

# we train our model again (this time fine-tuning the top 2 inception blocks
# alongside the top Dense layers
history_ft = model.fit_generator(
    train_generator,
    steps_per_epoch=len(train_generator.filenames) // batch_size,
    epochs=fit_epochs,
    validation_data=validation_generator,
    validation_steps=len(validation_generator.filenames) // batch_size,
    callbacks=[mc_fit, tb])

as
ValueError: Error when checking target: expected dense_2 to have 4 dimensions, but got array with shape (16, 50)

[ynsgnr]

Solved by downgrading keras version to 2.1.2
pip install keras==2.1.2