Developed by Google researchers and engineers for deep neural networks research, Tensorflow provides developers with a capacity for developing deep learning models. Long available for Python, Tensorflow became available for R programming in 2018, along with a version for JavaScript, Tensorflow.js. But how should developers approach the basic capabilities in Tensorflow? This session is a straightforward overview of how data for machine learning is used within this framework using R programming. Examples with data will be presented, along with best machine learning practices that can help developers get started.