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google-research/tuning_playbook: A playbook for systematically maximizing the performance of deep learning models.

github.com · 9,283 words · saved by 3 readers

A playbook for systematically maximizing the performance of deep learning models.

This is not an officially supported Google product. Varun Godbole†, George E. Dahl†, Justin Gilmer†, Christopher J. Shallue‡, Zachary Nado† † Google Research, Brain Team ‡ Harvard University Table of Contents Who is this document for? Why a tuning playbook? Guide for starting a new project Choosing the model architecture Choosing the optimizer Choosing the batch size Choosing the initial configuration A scientific approach to improving model performance The incremental tuning strategy Exploration vs exploitation Choosing the goal for the next round of experiments Designing…

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