model.compile(loss='binary_crossentropy',
optimizer='adam',
metrics=['accuracy'])
train_history = model.fit(x_train,y_train,batch_size=100,
epochs=1,verbose=2,
validation_split=0.2)
然后就好多<class 'int'>，，之前也建立CNN模型，一切都正常，不知道这次是怎么回事
<ipython-input-38-a4c83fbcf656> in <module>
1 train_history = model.fit(x_train,y_train,batch_size=100,
2 epochs=1,verbose=2,
----> 3 validation_split=0.2)
~\anaconda3\envs\ten\lib\site-packages\tensorflow\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_batch_size, validation_freq, max_queue_size, workers, use_multiprocessing)
1039 (x, y, sample_weight), validation_data = (
1040 data_adapter.train_validation_split(
-> 1041 (x, y, sample_weight), validation_split=validation_split))
1042
1043 if validation_data:
~\anaconda3\envs\ten\lib\site-packages\tensorflow\python\keras\engine\data_adapter.py in train_validation_split(arrays, validation_split)
1357 raise ValueError(
1358 "`validation_split` is only supported for Tensors or NumPy "
-> 1359 "arrays, found following types in the input: {}".format(unsplitable))
1360
1361 if all(t is None for t in flat_arrays):
ValueError: `validation_split` is only supported for Tensors or NumPy arrays, found following types in the input: [<class 'int'>,
