小编cou*_*uch的帖子

所以我在运行这行代码时遇到了 TensorFlow 的一些问题：

history = model.fit(X, y, batch_size=32, epochs=40, validation_split=0.1)

回溯如下：

Traceback (most recent call last):
  File "cnnmodel.py", line 71, in <module>
    history = model.fit(X, y, batch_size=32, epochs=40, validation_split=0.1)
  File "C:\Users\couch\PyMOL\envs\test\lib\site-packages\tensorflow_core\python\keras\engine\training.py", line 728, in fit
    use_multiprocessing=use_multiprocessing)
  File "C:\Users\couch\PyMOL\envs\test\lib\site-packages\tensorflow_core\python\keras\engine\training_v2.py", line 224, in fit
    distribution_strategy=strategy)
  File "C:\Uslow_core\python\keras\engine\training_v2.py", line 497, in _process_training_inputs
    adapter_cls = data_adapter.select_data_adapter(x, y)
  File "C:\Users\couch\PyMOL\envs\test\lib\site-packages\tensorflow_core\python\keras\engine\data_adapter.py", line 653, in select_data_adapter
    _type_name(x), _type_name(y)))
ValueError: Failed to find data adapter that can handle input: <class 'numpy.ndarray'>, (<class 'list'> containing values of types {"<class …