ValueError                                Traceback (most recent call last)
<ipython-input-9-3b925296aca6> in <module>()
     49
     50 # Train the model, iterating on the data in batches of 32 samples
---> 51 model.fit(training_data, one_hot_labels, epochs=10, batch_size=32)
     52
     53 #model.fit(x_train, y_train, epochs=5, batch_size=32)

C:\ProgramData\Anaconda3\envs\tensorflow\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, **kwargs)
    865                               class_weight=class_weight,
    866                               sample_weight=sample_weight,
--> 867                               initial_epoch=initial_epoch)
    868
    869     def evaluate(self, x, y, batch_size=32, verbose=1,

C:\ProgramData\Anaconda3\envs\tensorflow\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)
   1520             class_weight=class_weight,
   1521             check_batch_axis=False,
-> 1522             batch_size=batch_size)
   1523         # Prepare validation data.
   1524         do_validation = False

C:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\keras\engine\training.py in _standardize_user_data(self, x, y, sample_weight, class_weight, check_batch_axis, batch_size)
   1376                                     self._feed_input_shapes,
   1377                                     check_batch_axis=False,
-> 1378                                     exception_prefix='input')
   1379         y = _standardize_input_data(y, self._feed_output_names,
   1380                                     output_shapes,

C:\ProgramData\Anaconda3\envs\tensorflow\lib\site-packages\keras\engine\training.py in _standardize_input_data(data, names, shapes, check_batch_axis, exception_prefix)
    130                                  ' to have ' + str(len(shapes[i])) +
    131                                  ' dimensions, but got array with shape ' +
--> 132                                  str(array.shape))
    133             for j, (dim, ref_dim) in enumerate(zip(array.shape, shapes[i])):
    134                 if not j and not check_batch_axis:

ValueError: Error when checking input: expected dense_5_input to have 2 dimensions, but got array with shape (300, 20, 20, 3)


​