PyTorch Pruning | How it’s Made by Michela Paganini

Michela Paganini, Postdoctoral Researcher at Facebook AI, shares her personal experience creating a core PyTorch feature: Pruning (). In this talk, you will learn about pruning, why it’s important and how to get started. State-of-the-art deep learning techniques rely on over-parametrized models that are hard to deploy. On the contrary, biological neural networks are known to use efficient sparse connectivity. Identifying optimal techniques to compress models by reducing the number of p