Tensor flow does not work at all.

[Pratap-Desai]

ValueError Traceback (most recent call last)

in () 186 #%% 187 # Training --> 188 hist = model.fit(X_train, y_train, batch_size=16, nb_epoch=num_epoch, verbose=1, validation_data=(X_test, y_test)) 189 190 #hist = model.fit(X_train, y_train, batch_size=32, nb_epoch=20,verbose=1, validation_split=0.2) ~\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) 950 sample_weight=sample_weight, 951 class_weight=class_weight, --> 952 batch_size=batch_size) 953 # Prepare validation data. 954 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) 749 feed_input_shapes, 750 check_batch_axis=False, # Don't enforce the batch size. --> 751 exception_prefix='input') 752 753 if y is not None: ~\Anaconda3\lib\site-packages\keras\engine\training_utils.py in standardize_input_data(data, names, shapes, check_batch_axis, exception_prefix) 136 ': expected ' + names[i] + ' to have shape ' + 137 str(shape) + ' but got array with shape ' + --> 138 str(data_shape)) 139 return data 140 ValueError: Error when checking input: expected conv2d_49_input to have shape (1, 128, 128) but got array with shape (646, 128, 128)