Attributeerror: Module ‘keras.optimizers’ has no attribute ‘rmsprop’

In this TensorFlow tutorial, I will show you how to fix the error Attributeerror: Module ‘keras.optimizers’ has no attribute ‘rmsprop’.

Due to recent changes in the API of Keras and Tensorflow, many developers are facing this kind of error. I also faced this problem but found a solid solution.

So, in this tutorial, I will show you two ways to resolve this problem, one using the TensorFlow library and the other using the standalone Keraas framework.

Attributeerror: Module ‘keras.optimizers’ has no attribute ‘rmsprop’

The error Attributeerror: Module ‘keras.optimizers’ has no attribute ‘rmsprop’ indicating that Python doesn’t find the attribute ‘rmsprop’ from the keras.optimizers submodule.

This is the common error faced by developers with the Keras library.

Let me show you one way you may get this error. Look at the picture below.

Attributeerror: Module 'keras.optimizers' has no attribute 'rmsprop'

As you can see, the error appeared when I ran the above code. There are multiple reasons for this error.

  • First, the Keras API has greatly changed, especially with its integration into TensorFlow as tensorflow.keras. The code written for standalone Keras might not be compatible with newer versions of tensorflow.keras.
  • Second is the incorrect usage of the optimizer. In the previous version of Keras, optimizers were accessed directly from keras.optimizres, like keras.optimizers.RMSprop. However, Keras’s latest version has changed how optimizers are imported and used.
  • The third reason can be the code written for older versions of Keras without adopting the syntax to the current version.

The solution to this error is to use TensorFlow, as Keras is now available through tensorflow, so you can use the TensorFlow library.

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So I suggest you update the tensorflow or install the latest version of tensorflow. If you don’t know how to install it, follow the tutorial How to Install TensorFlow?.

To update the tensorflow, use the command below.

pip install --upgrade tensorflow

Now import the optimizers from the tf.keras using the below code.

from tensorflow.keras import optimizers

From optimizers, you can access the RMSprop using the below code.

optimizers.RMSprop
First Solution to Attributeerror Module 'keras.optimizers' has no attribute 'rmsprop'

Look successfully accessed the RMSprop from the optimizers using the tensorflow.

But if you want to use the Keras library standalone, then make sure you have installed the latest version of Keras by executing the below command.

pip install keras

Upgrade your Keras version using the command below.

pip install --upgraded keras

To access the RMSprop attribute, use the below command.

from keras.optimizers import RMSprop
print(RMSprop)
Second Solution to Attributeerror Module 'keras.optimizers' has no attribute 'rmsprop'

Again, the RMSprop was successfully accessed from the optimizers module of the Keras framework.

You have accessed the attribute RMSprop from the tensorflow.kersas.optimizers and keras.optimizers module.

I always recommend you visit the TensorFlow and Keras documentation for any API changes or functions. As Keras is integrated into TensorFlow, most functionality should now be accessed through tensorflow.keras instead of standalone Keras.

This is how to resolve the error Attributeerror: Module ‘keras.optimizers’ has no attribute ‘rmsprop’.

Conclusion

In this TensorFlow tutorial, you learned how to fix the error Attributeerror: Module ‘keras.optimizers’ has no attribute ‘rmsprop’. You have used the latest Tensorflow and Keras framework versions to fix this error.

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