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Distilling the Knowledge in a Neural Network Book Cover

Distilling the Knowledge in a Neural Network Book Summary

by Geoffrey Hinton, Oriol Vinyals, Jeff Dean
15.0 minutes

This page condenses Distilling the Knowledge in a Neural Network into a quick summary with author background, historical context, and chapter takeaways so you can understand Geoffrey Hinton, Oriol Vinyals, Jeff Dean's core ideas faster.

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Title
Distilling the Knowledge in a Neural Network
Author
Geoffrey Hinton, Oriol Vinyals, Jeff Dean
Reading Time
15.0 minutes
Category
Technology & The Future
Audio
Not available

Quick Answers

Start with the most useful search-style answers about Distilling the Knowledge in a Neural Network.

Who is Geoffrey Hinton, Oriol Vinyals, Jeff Dean?

Geoffrey Hinton是多伦多大学教授和加拿大高级研究所的研究员，同时在Google Inc.工作。Oriol Vinyals和Jeff Dean也在Google Inc.工作。

Who should read Distilling the Knowledge in a Neural Network?

机器学习研究人员、深度学习工程师、对模型压缩和知识迁移感兴趣的从业者。

What is the background behind Distilling the Knowledge in a Neural Network?

在大规模机器学习中，训练阶段和部署阶段的模型需求往往不同。训练阶段需要从大量冗余数据中提取结构，而部署阶段则对延迟和计算资源有更严格的要求。知识提炼方法正是在这种背景下提出的，旨在解决大型模型部署困难的问题。

Key Points

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Target Audience

机器学习研究人员、深度学习工程师、对模型压缩和知识迁移感兴趣的从业者。

Author Background

Geoffrey Hinton是多伦多大学教授和加拿大高级研究所的研究员，同时在Google Inc.工作。Oriol Vinyals和Jeff Dean也在Google Inc.工作。

Historical Context

在大规模机器学习中，训练阶段和部署阶段的模型需求往往不同。训练阶段需要从大量冗余数据中提取结构，而部署阶段则对延迟和计算资源有更严格的要求。知识提炼方法正是在这种背景下提出的，旨在解决大型模型部署困难的问题。

Chapter Summary