Maximal pruning and functional recovery

Key Idea

You can iteratively prune and finetune the network weights and still maintain performance up to some pruning ratio.

Reference:

• TinyML and Efficient Deep Learning Computing - Lecture 3
• Learning both Weights and Connections for Efficient Neural Networks