We begin with a quick introduction of deep learning concepts, just enough to have a working vocabulary to facilitate construction of neural networks during the tutorial. The TensorFlow suite of R packages will be covered, including keras, tfestimators, and tfdatasets. Together with the participants, we build end-to-end workflows to perform classification and regression tasks using neural networks. We discuss the data pre-processing needs specific to neural network models, architectural choices, and best practices. Examples will be chosen to span a wide range of interests, including learning on structured data, time series, and unstructured text and image data.