Many problems in this world are solved by using a rule based approach. But this approach is very ineffective because new rules will be needed every time there is a change in the user ecosystem. So that we are not able to identify and explicitly write down these rules. That's why we need to use Machine Learning to solve problems. With Machine learning we don't need to write down the rules and concepts explicitly.

TensorFlow is one of the most in-demand and popular open-source Machine Learning frameworks available today. Whether you’re an expert or a beginner, TensorFlow is an end-to-end platform that makes it easy for you to build and deploy ML models. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.

This sharing session aims to introduce Machine Learning with TensorFlow to members of Developer Student Club Chapter Udayana University, so that members have basic understanding of Machine Learning with TensorFlow and make their first Machine Learning model with TensorFlow.