ModuleNotFoundError: No module named ‘tensorflow.python.keras’

In this Tensorflow tutorial, I will explain how to solve the error ModuleNotFoundError: No module named ‘tensorflow.python.keras’.

Additionally, I will show how to resolve the error related to submodule tensorflow.python.keras’ such as Modulenotfounderror: No Module Named ‘tensorflow.python.keras.layers.preprocessing’ and Modulenotfounderror No Module Named tensorflow.python.keras.applications.

As a tensorflow beginner, you must know how to resolve these common errors.

ModuleNotFoundError: No module named ‘tensorflow.python.keras’

You are getting this error because you are trying to use module tensorflow.python.keas, which doesn’t exist, or maybe you have specified an incorrect location of the module or are using the older version code on the latest version of tensorflow.

But here are the simple steps to solve that error.

First, upgrade the pip using the below command in your terminal.

pip install --upgrade pip

Then, after upgrading, uninstall the current tensorflow using the command below.

pip uninstall tensorflow

Again, install the tensorflow using the code below.

pip install tensorflow

Now import the module tensorflow.python.keras using the code below.

import tensorflow.python.keras
ModuleNotFoundError: No module named 'tensorflow.python.keras'

You can see the successful import of the tensorflow.python.keras module in your environment without any error.

But there are other kinds of errors related to the module tensorflow.python.keraas, which are discussed below.

Modulenotfounderror: No Module Named ‘tensorflow.python.keras.layers.preprocessing’

The error means Python can’t find the submodule python.keras.layers.preprocessing in the TensorFlow library.

There can be different reasons behind this error; let me show one way: suppose you are importing the function image from python.keras.layers.preprocessing as shown below.

from tensorflow.python.keras.preprocessing import image
Modulenotfounderror: No Module Named 'tensorflow.python.keras.layers.preprocessing'

First, ensure you have installed the latest version of the tensorflow to resolve this error. If you haven’t installed it, follow this tutorial: How to Install TensorFlow?

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After installing TensorFlow, import the image from the tensorflow.keras.preprocessing as shown below.

from tensorflow.keras.preprocessing import image

print(image)
Solution to Modulenotfounderror No Module Named tensorflow.python.keras.layers.preprocessing

You successfully imported the image function from the tensorflow.keras.preprocessing, as seen in the above picture.

Also, remember not to use tensorflow.python.keras.preprocessing module because the private to tensorflow can affect the other imported module.

An alternative approach is to use the Keras framework, or maybe if you are using this framework, you can use the below command.

from keras.preprocessing import image

print(image)
Second Solution to Modulenotfounderror No Module Named tensorflow.python.keras.layers.preprocessing

From the output, we successfully imported the module image function from the keras.preprocessing module.

This is how to fix the error Modulenotfounderror: No Module Named ‘tensorflow.python.keras.layers.preprocessing’,

Modulenotfounderror No Module Named tensorflow.python.keras.applications

Again, this error means Python doesn’t find the submodule python.keras.applications in the tensorflow framework.

First, ensure you have installed the latest version of TensorFlow.

For example, if you import the module tensorflow.python.keras.applications in your environment, you get the error below.

import tensorflow.python.keras.applications
Modulenotfounderror No Module Named tensorflow.python.keras.applications

The solution to this error is to use the submodule keras.applications from tensorflow using the code below.

import tensorflow.keras.applications
Solution for Modulenotfounderror No Module Named tensorflow.python.keras.applications

After executing the above import statement, it imports the module tensorflow.keras.applications in your environment without error.

Conclusion

You learned how to resolve the error ModuleNotFoundError: No module named ‘tensorflow.python.keras’; you learned that tesnorflow.keras should be used instead of tensorflow.python.keras module.

Ultimately, you resolved two kinds of errors: Modulenotfounderror: No Module Named ‘tensorflow.python.keras.layers.preprocessing’ and Modulenotfounderror No Module Named tensorflow.python.keras.applications.

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