NVIDIA Corporation
ASYNCHRONOUS EARLY STOPPING IN HYPERPARAMETER METAOPTIMIZATION FOR A NEURAL NETWORK

Abstract:

One embodiment of a method includes adjusting a plurality of hyperparameters corresponding to a plurality of neural networks trained asynchronously relative to each other using a plurality of computer systems. The method further includes asynchronously measuring one or more performance metrics associated with the plurality of neural networks being trained. The method further includes ceasing the adjusting of the plurality of hyperparameters corresponding to one or more of the plurality of neural networks if the one or more performance metrics associated with the one or more of the plurality of neural networks are below a threshold.