Session Overview

Optimizing Deep Learning Pipelines with new tools such as quantization, model distillation, and just including the right math library can be complicated for end-users. This talk gives a survey on the different techniques for optimizing ML pipelines and lays out trade-offs to consider when deploying them. 


Overview

  • 1

    Deploying Optimized Deep Learning Pipelines

    • Abstract & Bio

    • Deploying Optimized Deep Learning Pipelines

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