Google Research: Using Evolutionary AutoML to Discover Neural Network Architectures

Updates from Google Research: they've successfully used an evolutionary algorithm to beat out reinforcement learning-based approaches to autoML. The most fascinating result (to me) is that the evolutionary approach is not simply higher performance—it requires far less computation to arrive there (graph on right, above).

This summary is fairly short / accessible.


Want to receive more content like this in your inbox?