How to Fix “tensorflow.keras” Import Resolution Issue | Guaranteed 100% Working Solution | Import tensorflow

If you are facing the error message "Import ‘tensorflow.keras’ could not be resolved" in your Python script, do not worry! In this tutorial, we will provide a 100% working solution to resolve this issue and successfully import TensorFlow.

Here are the steps to fix the "Import ‘tensorflow.keras’ could not be resolved" error:

1. Check TensorFlow Version:
   Before we proceed with the solution, it is important to ensure that you have the latest version of TensorFlow installed on your system. You can check the TensorFlow version using the following command:

pip show tensorflow

If you do not have TensorFlow installed or have an older version, you can upgrade to the latest version using the following command:

pip install --upgrade tensorflow

1. Import TensorFlow Correctly:
   The correct way to import TensorFlow’s Keras module is as follows:

import tensorflow.keras as keras

Make sure that you are using the correct import statement in your Python script. If you are using any other import statement such as import tensorflow as tf, it may lead to the "Import ‘tensorflow.keras’ could not be resolved" error.

1. Verify Installation:
   After updating TensorFlow and correcting the import statement, it is important to verify that the installation is successful. You can do this by running a simple script that imports TensorFlow’s Keras module and verifies if there are any errors.

import tensorflow.keras as keras

# Print TensorFlow Version
print("TensorFlow Version:", tf.__version__)

# Check if TensorFlow is working
x = tf.constant([1, 2, 3])
print("TensorFlow Constant:", x)

If you do not encounter any errors and the script runs successfully, it means that the "Import ‘tensorflow.keras’ could not be resolved" issue has been resolved.

1. Clear Python Cache:
   Sometimes, the error message may persist due to cached files in Python. To resolve this, you can clear the Python cache by running the following command:

# For Windows
del %userprofile%AppDataLocalTemp*.pyc

# For macOS/Linux
rm -rf ~/.cache/pip/

After clearing the Python cache, run your Python script again to check if the issue has been resolved.

1. Restart IDE/Code Editor:
   If you are using an Integrated Development Environment (IDE) or code editor, try restarting it after implementing the solutions mentioned above. This can help in refreshing the environment and ensuring that the changes are applied correctly.

By following the steps outlined in this tutorial, you should be able to successfully resolve the "Import ‘tensorflow.keras’ could not be resolved" error and import TensorFlow’s Keras module without any issues. Remember to keep your TensorFlow installation up-to-date to prevent any compatibility issues in the future.