Using Evolutionary AutoML to Discover Neural Network Architectures

Hey there I am providing you latest news from GOOGLE Research... You may go to official page using this link . Using Evolutionary AutoML to Discover Neural Network Architectures The brain has evolved over a long time, from very simple worm brains 500 million years ago to a diversity of modern structures today. The human brain, for example, can accomplish a wide variety of activities, many of them effortlessly — telling whether a visual scene contains animals or buildings feels trivial to us, for example. To perform activities like these, artificial neural networks require careful design by experts over years of difficult research, and typically address one specific task, such as to find what's in a photograph , to call a genetic variant , or to help diagnose a disease . Ideally, one would want to have an automated method to generate the right architecture for any given task. One approach to generate these architectures is through the u...