No module named 'tensorflow.keras.layers.experimental.preprocessing'

Question

Below the code

import numpy as np
np.random.seed(0)
from sklearn import datasets
import matplotlib.pyplot as plt
%matplotlib inline
%config InlineBackend.figure_format ='retina'

from keras.models import Sequential
from keras.layers import Dense
from keras.optimizers import SGD

below the Error message

---------------------------------------------------------------------------
ModuleNotFoundError                       Traceback (most recent call last)
~\Anaconda3\lib\site-packages\keras\__init__.py in <module>
      2 try:
----> 3     from tensorflow.keras.layers.experimental.preprocessing import RandomRotation
      4 except ImportError:

ModuleNotFoundError: No module named 'tensorflow.keras.layers.experimental.preprocessing'

During handling of the above exception, another exception occurred:

ImportError                               Traceback (most recent call last)
<ipython-input-5-943507dd87a6> in <module>
      6 get_ipython().run_line_magic('config', "InlineBackend.figure_format ='retina'")
      7 
----> 8 from keras.models import Sequential
      9 from keras.layers import Dense
     10 from keras.optimizers import SGD

~\Anaconda3\lib\site-packages\keras\__init__.py in <module>
      4 except ImportError:
      5     raise ImportError(
----> 6         'Keras requires TensorFlow 2.2 or higher. '
      7         'Install TensorFlow via `pip install tensorflow`')
      8 

ImportError: Keras requires TensorFlow 2.2 or higher. Install TensorFlow via `pip install tensorflow

Note:` I think, the main problem is Tensorflow version. I used somes command and that's are bellow,

conda create -n tf tensorflow
conda activate tf

and I also used the below command

conda create -n tf-gpu tensorflow-gpu
conda activate tf-gpu

But it don't works , Please help for solve the error.

Answer 1

You need update TensorFlow. You can try with

pip install tensorflow==2.0.0

or, if you use gpu version

pip install tensorflow-gpu==2.0.0 

If doesn't solve your issue, you can also try with 2.2.0 version.

For more details, in this issue follow this answer