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Sherpa Optimization.pdf

2005.04048.pdf
Preview of Sherpa Optimization
🔗 Source: arxiv.org
📊 Size: 1.75 MB
👤 Author: Lars Hertel; Julian Collado; Peter Sadowski; Jordan Ott; Pierre Baldi;
⬇️ Downloads: 86

Summary

Sherpa is a hyperparameter optimization library for machine learning models, designed for computationally expensive function evaluations, such as deep neural networks. It allows scientists to quickly optimize hyperparameters using various algorithms, can be run on a single machine or in parallel on a cluster, and features an interactive dashboard to view progress and explore hyperparameter combinations.

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Description

Sherpa is a hyperparameter optimization library for machine learning models, designed for computationally expensive function evaluations, such as deep neural...

Technical Information

  • File Format: PDF
  • File Size: 1.75 MB
  • Pages: 23
  • Language: EN
  • Author: Lars Hertel; Julian Collado; Peter Sadowski; Jordan Ott; Pierre Baldi;
  • Total Downloads: 86
  • Last Updated: 1 month ago

Document Overview

This PDF document about Sherpa Optimization provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Sherpa Optimization.

Related Topics

If you're interested in Sherpa Optimization, you might also want to explore:

Sherpa guideSherpa tutorialOptimization guideOptimization tutorial

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