TensorFlow Tutorial Pt.1

Demo of how to code and optimize neural networks in TensorFlow. In this first part we discuss a classification network. All code is available in my GitHub at: github.com/wba.... I assume you know what a neural network is, but little prior coding is required. The goal is to get over the initial challenge in coding using TensorFlow that many people encounter. We go over loading data, building a model, determining parameters, different activation functions, learning rate, and constructing custom network topologies. At the end we see how to optimize hyperparameters using Bayesian Optimization.