close

[Solved] Tensorflow compatibility with Keras

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error Tensorflow compatibility with Keras in Python. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

How Tensorflow compatibility with Keras Error Occurs?

Today I get the following error Tensorflow compatibility with Keras in Python.

How To Solve Tensorflow compatibility with KerasError ?

  1. How To Solve Tensorflow compatibility with KerasError ?

    To Solve Tensorflow compatibility with KerasError That configuration can be tricky. How about you use keras inside tensorflow? I think they are more likely to be compatible each other. from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense

Solution 1

The problem is that the latest keras version (2.4.x) is just a wrapper on top of tf.keras, which I do not think is that you want, and this is why it requires specifically TensorFlow 2.2 or newer.

What you can do is install Keras 2.3.1, which supports TensorFlow 2.x and 1.x, and is the latest real releases of Keras. You can also install Keras 2.2.4 which only supports TensorFlow 1.x. You can install specific versions like this:

pip install --user keras==2.3.1

Solution 2

That configuration can be tricky. How about you use keras inside tensorflow? I think they are more likely to be compatible each other.

from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense

Summery

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

Also Read

Leave a Comment