---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-1-7d208230a4ba> in <module>
     39               metrics=['accuracy'])
     40
---> 41 model.fit(X, y, batch_size=32, epochs=3, validation_split=0.3)

~\Anaconda3\lib\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,

~\Anaconda3\lib\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)

~\Anaconda3\lib\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)
    495                      'at same time.')
    496
--> 497   adapter_cls = data_adapter.select_data_adapter(x, y)
    498
    499   # Handle validation_split, we want to split the data and get the training

~\Anaconda3\lib\site-packages\tensorflow_core\python\keras\engine\data_adapter.py in select_data_adapter(x, y)
    651         "Failed to find data adapter that can handle "
    652         "input: {}, {}".format(
--> 653             _type_name(x), _type_name(y)))
    654   elif len(adapter_cls) > 1:
    655     raise RuntimeError(

ValueError: Failed to find data adapter that can handle input: <class 'numpy.ndarray'>, (<class 'list'> containing values of types {"<class 'int'>"})