Model Deployment for Deep Learning

1.1 Model usage process

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1.2 Model Deployment Platform

  • Online server-side deployment, accuracy priority

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  • Offline embedded deployment, taking into account accuracy and speed, resource consumption

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1.3 Model deployment method

  • Raw training framework deployment
  • Deployment engine for training framework
  • Manual Model Refactoring
  • dedicated inference engine
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1.4 Framework comparison

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Reference:
https://www.bilibili.com/video/BV1TY4y1q7XE?p=1

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Origin blog.csdn.net/qq_54372122/article/details/130398825