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9 - Efficient Training

Published online by Cambridge University Press:  aN Invalid Date NaN

Ryoma Sato
Affiliation:
National Institute of Informatics, Chiyoda, Japan
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Summary

In this chapter, we briefly describe methods for performing training in a fast and cost-effective manner. This book has primarily focused on accelerating inference. Techniques for inference, such as low-precision methods and fast architectures, can also be employed to accelerate training. In this chapter, we discuss issues that are unique to training.

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  • Efficient Training
  • Ryoma Sato, National Institute of Informatics, Chiyoda, Japan
  • Book: Accelerating Deep Neural Networks
  • Chapter DOI: https://doi.org/10.1017/9781009687119.010
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  • Efficient Training
  • Ryoma Sato, National Institute of Informatics, Chiyoda, Japan
  • Book: Accelerating Deep Neural Networks
  • Chapter DOI: https://doi.org/10.1017/9781009687119.010
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Efficient Training
  • Ryoma Sato, National Institute of Informatics, Chiyoda, Japan
  • Book: Accelerating Deep Neural Networks
  • Chapter DOI: https://doi.org/10.1017/9781009687119.010
Available formats
×