Hippo: Taming Hyper-parameter Optimization of Deep Learning with Stage Trees

Ahnjae Shin
Ahnjae Shin
Do Yoon Kim
Do Yoon Kim
Joo Seong Jeong
Joo Seong Jeong
Cited by: 0|Views21

Abstract:

Hyper-parameter optimization is crucial for pushing the accuracy of a deep learning model to its limits. A hyper-parameter optimization job, referred to as a study, involves numerous trials of training a model using different training knobs, and therefore is very computation-heavy, typically taking hours and days to finish. We observe t...More

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