Democratizing Deep Learning – The Stanford Dawn Project

Summary: How about we develop a ML platform that any domain expert can use to build a deep learning model without help from specialist data scientists, in a fraction of the time and cost. The good news is the folks at the Stanford DAWN project are hard at work on just such a platform and the initial results are extraordinary. Last week we wrote that sufficient labeled training data was the single greatest cost factor holding back wide adoption of machine learning. It may be the most expensive, but it's far from the only thing holding ML back. After examining the work of the Stanford DAWN project these researchers propose that literally all the steps in the development process from data acquisition, to feature extraction, to model training, and all the way to productionizing the model are all deeply flawed.