Jonathan Frankle: Neural Network Pruning and Training

Jonathan Frankle, Chief Scientist at MosaicML and Assistant Professor of Computer Science at Harvard University joins Lukas Biewald on this episode of Gradient Dissent. With comprehensive infrastructure and software tools, MosaicML aims to help businesses train complex machine-learning models using their own proprietary data.

In this episode of Gradient Dissent they discuss:

Details of Jonathan’s Ph.D. dissertation which explores his “Lottery Ticket Hypothesis.”

- The role of neural network pruning and how it impacts the performance of ML models.
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