Hi Getting this error while running on jupyter notebook, but not on pycharm ide , which ide do you suggest to use ?

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ValueError                                Traceback (most recent call last)
<ipython-input-5-faff05f88b75> in <module>
    170 early_stop = EarlyStopping(monitor='val_loss', patience=2)
    171 
--> 172 history = model1.fit(training_padded, train_labels, epochs=num_epochs, validation_data=(testing_padded, test_labels),callbacks =[early_stop], verbose=2)
    173 
    174 # Create a dataframe
~/opt/anaconda3/envs/RCA_TFVirtualEnv/lib/python3.7/site-packages/tensorflow_core/python/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, validation_freq, max_queue_size, workers, use_multiprocessing, **kwargs)
    726         max_queue_size=max_queue_size,
    727         workers=workers,
--> 728         use_multiprocessing=use_multiprocessing)
    729 
    730   def evaluate(self,
~/opt/anaconda3/envs/RCA_TFVirtualEnv/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_v2.py in fit(self, model, x, y, batch_size, epochs, verbose, callbacks, validation_split, validation_data, shuffle, class_weight, sample_weight, initial_epoch, steps_per_epoch, validation_steps, validation_freq, **kwargs)
    222           validation_data=validation_data,
    223           validation_steps=validation_steps,
--> 224           distribution_strategy=strategy)
    225 
    226       total_samples = _get_total_number_of_samples(training_data_adapter)
~/opt/anaconda3/envs/RCA_TFVirtualEnv/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_v2.py in _process_training_inputs(model, x, y, batch_size, epochs, sample_weights, class_weights, steps_per_epoch, validation_split, validation_data, validation_steps, shuffle, distribution_strategy, max_queue_size, workers, use_multiprocessing)
    545         max_queue_size=max_queue_size,
    546         workers=workers,
--> 547         use_multiprocessing=use_multiprocessing)
    548     val_adapter = None
    549     if validation_data:
~/opt/anaconda3/envs/RCA_TFVirtualEnv/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_v2.py in _process_inputs(model, x, y, batch_size, epochs, sample_weights, class_weights, shuffle, steps, distribution_strategy, max_queue_size, workers, use_multiprocessing)
    592         batch_size=batch_size,
    593         check_steps=False,
--> 594         steps=steps)
    595   adapter = adapter_cls(
    596       x,
~/opt/anaconda3/envs/RCA_TFVirtualEnv/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training.py in _standardize_user_data(self, x, y, sample_weight, class_weight, batch_size, check_steps, steps_name, steps, validation_split, shuffle, extract_tensors_from_dataset)
   2536           # Additional checks to avoid users mistakenly using improper loss fns.
   2537           training_utils.check_loss_and_target_compatibility(
-> 2538               y, self._feed_loss_fns, feed_output_shapes)
   2539 
   2540       # If sample weight mode has not been set and weights are None for all the
~/opt/anaconda3/envs/RCA_TFVirtualEnv/lib/python3.7/site-packages/tensorflow_core/python/keras/engine/training_utils.py in check_loss_and_target_compatibility(targets, loss_fns, output_shapes)
    741           raise ValueError('A target array with shape ' + str(y.shape) +
    742                            ' was passed for an output of shape ' + str(shape) +
--> 743                            ' while using as loss `' + loss_name + '`. '
    744                            'This loss expects targets to have the same shape '
    745                            'as the output.')
ValueError: A target array with shape (1195, 1) was passed for an output of shape (None, 50, 1) while using as loss `binary_crossentropy`. This loss expects targets to have the same shape as the output.