eBook: Pruning For Success

There are numerous algorithms and hyperparameters to choose from when pruning. This can make it difficult to know where to start, or what to fix when things go wrong.

In this eBook, we provide an overview of the best practices for pruning a model to make the process easier and better guarantee success.

Additionally, we include an in-depth walkthrough of gradual magnitude pruning (the pruning algorithm we, and the research community, have found to work the best) and its associated hyperparameters.

 

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