Combining Dask and PyTorch for Better, Faster Transfer Learning

 By Saturn Cloud - 2020-12-01

Description

Combining Dask and PyTorch for better transfer learning allows the data scientist to significantly improve the effective learning of a model

Summary

  • Combining Dask and PyTorch for Better, Faster Transfer Learning This tutorial is run on the Saturn Cloud platform, which makes Dask clusters available at the click of a button to users.
  • other objects will be copied once per device) Eg, our starting model, if any (Resnet50 for us) doesn’t get broken up at all.
  • The essential difference with DDP, then, is that it is optimized for multiple machines instead of a single machine with multiple threads.
  • Taking PyTorch to the Cluster If you’ve worked through any of our other tutorials that involve Dask clusters on Saturn Cloud, you have read a little about the commands used for instructing the client, aka our Dask cluster.

 

Topics

  1. Machine_Learning (0.39)
  2. Backend (0.33)
  3. NLP (0.11)

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