This is an issue that arises as a result of the version incompatibility of the modules in Keras and tensor flow. The solution you find on google recommends downgrading the version of Tensor flow to 2.1 but this is no longer an option. You can create a virtual environment in Python but that still won’t address the version incompatibility between the Keras & Tensor flow.
Try the below solution in order to fix the above issue.
pip uninstall tf-nightly
If not installed that’s ok
pip uninstall tf-estimate-nightly
If not installed that’s ok
pip install tensorflow –upgrade –force-reinstall
This last step reinstalls Tensorflow and should rectify the missing modules issue.
jayanth.kurup
This post was written by Jayanth Kurup. A Microsoft SQL Server Consultant and Trainer based out of Bangalore, India. Jayanth has been working on MS SQL Server for over 15 years. He is a performance tuning and Business Intelligence expert. Having worked with companies like Microsoft, DELL, Wells Fargo, Thomson Reuters and many other fortune 100 companies. Some other technologies Jayanth works on include Microsoft Azure, PowerBI, Python and AWS. When he isn’t consulting or training, Jayanth like to travel, paint and read. He is also very active in social causes and the founder of Enabled Business Solutions. Visit his company by clicking the link in the menu or email him directly.
