Error when checking target: expected dense_1 to have 4 dimensions, but got array with shape (128, 10) #3
Description
[Required] Your device (RaspberryPi3, LaptopPC, or other device name):
Laptop (MacBook Pro 15" Early 2013
[Required] Your device's CPU architecture (armv7l, x86_64, or other architecture name):
x86_64
[Required] Your OS (Raspbian, Ubuntu1604, or other os name):
MacOS 10.14.6
[Required] Details of the work you did before the problem occurred:
Clone repository, and execute from_preprocessing_to_training.ipynb in jupiter-notebook
[Required] Error message:
Total params: 719,034
Trainable params: 549,098
Non-trainable params: 169,936
__________________________________________________________________________________________________
x_target is 6000 samples
x_ref is 6000 samples
training...
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-3-bdce5d7b4ebd> in <module>
117 return model_t
118
--> 119 model = train(X_train_s, X_ref, y_ref, 5)
<ipython-input-3-bdce5d7b4ebd> in train(x_target, x_ref, y_ref, epoch_num)
94 #reference data
95 #Get loss while learning
---> 96 ld.append(model_r.train_on_batch(batch_ref, batch_y))
97
98 loss.append(np.mean(ld))
/usr/local/lib/python3.6/site-packages/keras/engine/training.py in train_on_batch(self, x, y, sample_weight, class_weight)
1209 x, y,
1210 sample_weight=sample_weight,
-> 1211 class_weight=class_weight)
1212 if self._uses_dynamic_learning_phase():
1213 ins = x + y + sample_weights + [1.]
/usr/local/lib/python3.6/site-packages/keras/engine/training.py in _standardize_user_data(self, x, y, sample_weight, class_weight, check_array_lengths, batch_size)
787 feed_output_shapes,
788 check_batch_axis=False, # Don't enforce the batch size.
--> 789 exception_prefix='target')
790
791 # Generate sample-wise weight values given the `sample_weight` and
/usr/local/lib/python3.6/site-packages/keras/engine/training_utils.py in standardize_input_data(data, names, shapes, check_batch_axis, exception_prefix)
126 ': expected ' + names[i] + ' to have ' +
127 str(len(shape)) + ' dimensions, but got array '
--> 128 'with shape ' + str(data_shape))
129 if not check_batch_axis:
130 data_shape = data_shape[1:]
ValueError: Error when checking target: expected dense_1 to have 4 dimensions, but got array with shape (128, 10)
[Required] Overview of problems and questions:
How to solve this error? I didn't changed anything in the code, i just ran the example.