How to Resolve No Module Named tensorflow.python.training.tracking Error in Jupyter Notebook

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Understanding the Error

Installation Issues: There might be issues or corruption in your TensorFlow installation.

Steps to Resolve the Issue

Here's a step-by-step guide to resolving this issue:

Verify TensorFlow Installation

Ensure that TensorFlow is correctly installed in your environment. You can check this by running:

[[See Video to Reveal this Text or Code Snippet]]

If TensorFlow is not installed or you receive an error, you need to install it using:

[[See Video to Reveal this Text or Code Snippet]]

Check for Version Compatibility

If TensorFlow is installed, ensure it is compatible with the code you are trying to run. The tracking module is part of TensorFlow's internal modules, which can have differing availability across versions. It is often recommended to use TensorFlow 2.x. You can upgrade or install a specific version using:

[[See Video to Reveal this Text or Code Snippet]]

Replace 2.x with the desired version number that is compatible with your needs.

Reinstall TensorFlow

If the version check doesn’t solve the issue, try reinstalling TensorFlow. First, uninstall the current version:

[[See Video to Reveal this Text or Code Snippet]]

Next, reinstall it:

[[See Video to Reveal this Text or Code Snippet]]

Verify Jupyter Environment

Ensure that your Jupyter Notebook environment is using the same Python environment where TensorFlow is installed. You can do this by checking the kernel settings in Jupyter Notebook.

To align your Jupyter environment, use the following command within your current Python environment:

[[See Video to Reveal this Text or Code Snippet]]

Then, refresh Jupyter Notebook and select the new kernel.

Conclusion

If problems persist, consider checking other dependencies or consulting TensorFlow documentation for specific module requirements.