Yoel Zeldes • 6/14/2018

The Hitchhiker's Guide to Hyperparameter Tuning

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This article details the process of building a hyperparameter tuning script for deep learning models. It covers initial requirements, using JSON for experiment configuration, integrating metrics, saving results to cloud storage, and moving beyond simple grid search. It's based on the author's experience at Taboola and addresses practical implementation challenges often overlooked in research.

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#Machine Learning #Neural Networks #Deep Learning
The Hitchhiker's Guide to Hyperparameter Tuning

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