Episode 101
Compressing deep learning models: distillation (Ep.104)
May 20, 202022m 19s
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Show Notes
Using large deep learning models on limited hardware or edge devices is definitely prohibitive. There are methods to compress large models by orders of magnitude and maintain similar accuracy during inference.
In this episode I explain one of the first methods: knowledge distillation
Come join us on Slack
Reference- Distilling the Knowledge in a Neural Network https://arxiv.org/abs/1503.02531
- Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks https://arxiv.org/abs/2004.05937