Compressing deep learning models: distillation (Ep.104)

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

Share | Download

Episodes Date

Load more

Play this podcast on Podbean App