Deep Neural Network Hyper-Parameter Optimization

Rescale's Design-of-Experiments (DOE) framework is an easy way to optimize the performance of machine learning models. This article will discuss a workflow for doing hyper-parameter optimization on deep neural networks. For an introduction to DOEs on Rescale, see this webinar. Deep neural networks (DNNs) are a popular machine learning model used today in many many applications including robotics, self-driving cars, image search, facial recognition, and speech recognition. In this article we will train some neural networks to do image classification and show how to use Rescale to maximize the performance of your DNN models.