Getting Started with Deep Learning

ARANK

By Matthew Rubashkin, Silicon Valley Data Science.At SVDS, our R&D team has been investigating different deep learning technologies, from recognizing images of trains to speech recognition. We needed to build a pipeline for ingesting data, creating a model, and evaluating the model performance. However, when we researched what technologies were available, we could not find a concise summary document to reference for starting a new deep learning project.One way to give back to the open source community that provides us with tools is to help others evaluate and choose those tools in a way that takes advantage of our experience. We offer the chart below, along with explanations of the various criteria upon which we based our decisions.These rankings are a combination of our subjective experiences with image and speech recognition applications for these technologies, as well as publicly available benchmarking studies. Please note that this is not an exhaustive list of available deep learn…