Nonetype object is no cappable

Course Q&A TensorFlow Developer Professional Convolutional Neural Networks in TensorFlow
1

hi, i have a problem with callback on training the model. This what is the parameter said

/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:9: UserWarning: Model.fit_generator is deprecated and will be removed in a future version. Please use Model.fit, which supports generators.
if name == ‘main’:
Epoch 1/100

TypeError Traceback (most recent call last)
in ()
7 epochs = 100,
8 verbose = 2,
----> 9 callbacks= [callbacks])

2 frames
/usr/local/lib/python3.7/dist-packages/tensorflow/python/eager/def_function.py in _call(self, *args, **kwds)
945 # In this case we have created variables on the first call, so we run the
946 # defunned version which is guaranteed to never create variables.
→ 947 return self._stateless_fn(*args, **kwds) # pylint: disable=not-callable
948 elif self._stateful_fn is not None:
949 # Release the lock early so that multiple threads can perform the call

TypeError: ‘NoneType’ object is not callable

what’s wrong with it? could anyone help, please?

2

This means that the variable callbacks is None.
If this is not the case in your implementation, please click my name and message your notebook as an attachment.

3

Please fix the typo in accruracy in your model definition.

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