Friday, 29 March 2019

Algorithm designs optimized machine-learning models up to 200 times faster than traditional methods

A new area in artificial intelligence involves using algorithms to automatically design machine-learning systems known as neural networks, which are more accurate and efficient than those developed by human engineers. But this so-called neural architecture search (NAS) technique is computationally expensive.

* This article was originally published here