TensorFlow is a wildly popular open-source framework used for numerical computation that makes building machine learning algorithms easy and convenient.

It provides a flexible and efficient way to build and train machine learning models, from simple linear regression to complex neural networks.

To verify TensorFlow is installed on the machine please follow the steps below, become a "super user" and change the directory path to "/root".

sudo su : To become a "super user".

cd /root/ : To change the directory path to "/root".

ls : To see the list of directories, TensorFlow is installed in virtual environment 'my_env'.

source my_env/bin/activate : To activate the virtual environment 'my_env'.

pip show tensorflow-cpu : To check the installed version of TensorFlow(Here we have installed TensorFlow For CPU basd machine, in python3 virtual environment).

deactivate : To come out of the virtual environment 'my_env'.

tensorflow is installed in the "my_env" virtual environment, in "/root/" directory.

Get Started with This Ready-To-Go TensorFlow on Debian11

This readymade TensorFlow on Debian11 offered by Apps4Rent takes away all the complexities in integration to Azure. All you need to do is just download the custom-built image and you are ready to go.

Easy TensorFlow on Debian11 and Support by Azure Experts

 We at Apps4Rent helps you deploy TensorFlow across different OSes on Azure. Tested and supported by the Apps4rent engineers, by Azure cloud infrastructure precisely. In case you have any issues, our Azure experts are available 24/7 via phone, chat, and email. Get in touch today!

Disclaimer: Apps4Rent does not offer commercial licenses of any of the products mentioned above. The products come with open-source licenses.

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