Attributeerror: module keras.engine has no attribute layer

Attributeerror: module keras.engine has no attribute layer

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Wondering why the attributeerror: module keras.engine has no attribute layer occurs or looking for a quick solution to it?

It’s now time for you to stop searching and read this through to the end.

In this article, we will show you how to solve the attributeerror: module keras.engine has no attribute layer.

Aside from that, we will also explain why this Python error occurs and, for additional information, what Python is.

To start with, let’s learn why this error occurs and what Python is.

Why does this error occur?

This error usually occurs when Keras can’t locate the ‘layer’ attribute in the TensorFlow backend.

The common cause of this is that either we’re using an outdated version of Keras and TersorFlow, we import the wrong version of them, or we incorrectly install them.

What is Python?

Python is one of the most popular programming languages.

It is used for developing a wide range of applications.

In addition, Python is a high-level programming language that is used by most developers due to its flexibility.

Returning to our issue, we must take a few actions to fix this error.

So, without further ado, let’s move on to our “how to fix this error” tutorial.

How to solve “module ‘keras.engine’ has no attribute ‘layer’” in Python

Time needed: 2 minutes

Here’s how to resolve the attributeerror: module keras.engine has no attribute layer in Python.

  1. Check the versions of Keras and TensorFlow.


    Resolving the attributeerror: module keras.engine has no attribute layer is an easy task.

    But before making changes to implement a solution, check the versions of your Keras and TensorFlow first.

    To do so, run the commands:

    import keras
    import tensorflow as tf

    print(keras.__version__)
    print(tf.__version__)

    These commands will display the versions of Keras and TensorFlow your system has.

  2. Upgrade Keras and TensorFlow.


    After checking the versions of Keras and TensorFlow, upgrade them if their versions are outdated.

    To upgrade Keras, use the command pip install keras –upgrade.

    However, to upgrade TensorFlow, use the command pip install tensorflow –upgrade.

    These commands will upgrade both Keras and TensorFlow.

  3. Verify your imports and check your installation.


    Verify you’re importing the correct versions of the two.

    After verifying, check if you installed them in the right path.

    To do so, run the commands:

    import keras
    import tensorflow as tf

    print(keras.__path__)
    print(tf.__path__)

    If everything is in place, try running your code again.

Alternative Solution

Change your import statement.

If the error still exists, try this alternative solution.

✅ Change your import statement from import keras.engine as KE into:

import keras.engine.topology as KE

This solution will surely solve your problem.

Commands you might need

  • pip list

    This command will display all the packages installed on your system, including their versions.

    If you’re using Jupyter Notebook, use the !pip list command.

    However, if you’re using Anaconda, use the command conda list.
  • pip –version

    Use this command if you want to check what version of pip you have or have installed on your system.

    If you’re using Jupyter Notebook, use the command !pip –version.
  • python –version

    Use this command if you want to check what version of Python you have.

    If you’re using Jupyter Notebook, use the command !python –version.

    However, if you’re using Anaconda, you can just use the command python –version.

Conclusion

In conclusion, the attributeerror: module keras.engine has no attribute layer can be easily solved by updating Keras and TensorFlow or changing your import statement.

By following the guide above, there’s no doubt that you’ll be able to resolve this error quickly.

We hope you’ve learned a lot from this.

Thank you for reading, and have fun coding!

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