Researchers from Google conduct a survey on how to make Deep Learning models smaller, faster, and better. The team focuses on core areas of model efficiency, from modelling techniques to hardware support, and open-sources an experiment-based guide and code to help practitioners optimize their model training and deployment.

Here is a quick read: Google Survey Explores Methods for Making DL Models ‘Smaller, Faster, and Better’.

The paper Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better is on arXiv.



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