Error in section Training on a minimised data set

[hibakhanam]

Hi,
i am trying 3-us8k-cnn-extract-train but met with error at the section "Training on a minimised data set". hope you will help me to get out of this
this is what i got

fold1 features: (0, 60, 41, 2)
fold2 features: (0, 60, 41, 2)
fold3 features: (0, 60, 41, 2)
Building model...
Training model...

ValueError Traceback (most recent call last)
in ()
18 # now fit the model to the training data, evaluating loss against the validation data
19 print("Training model...")
---> 20 model.fit(train_x, train_y, validation_data=(valid_x, valid_y), callbacks=[earlystop], batch_size=20, epochs=3)
21
22 # now evaluate the trained model against the unseen test data
~\Anaconda3\lib\site-packages\keras\models.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, **kwargs)
1000 initial_epoch=initial_epoch,
1001 steps_per_epoch=steps_per_epoch,
-> 1002 validation_steps=validation_steps)
1003
1004 def evaluate(self, x=None, y=None,
~\Anaconda3\lib\site-packages\keras\engine\training.py in fit(self, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, **kwargs)
1628 sample_weight=sample_weight,
1629 class_weight=class_weight,
-> 1630 batch_size=batch_size)
1631 # Prepare validation data.
1632 do_validation = False
~\Anaconda3\lib\site-packages\keras\engine\training.py in _standardize_user_data(self, x, y, sample_weight, class_weight, check_array_lengths, batch_size)
1478 output_shapes,
1479 check_batch_axis=False,
-> 1480 exception_prefix='target')
1481 sample_weights = _standardize_sample_weights(sample_weight,
1482 self._feed_output_names)
~\Anaconda3\lib\site-packages\keras\engine\training.py in _standardize_input_data(data, names, shapes, check_batch_axis, exception_prefix)
121 ': expected ' + names[i] + ' to have shape ' +
122 str(shape) + ' but got array with shape ' +
--> 123 str(data_shape))
124 return data
125
ValueError: Error when checking target: expected activation_4 to have shape (10,) but got array with shape (0,)

and it is craeting problem in later sections

[StanSilas]

I fixed it. I'll make a merge request.