Network Implosion: Effective Model Compression for ResNets via Static Layer Pruning and Retraining

10 Jun 2019Yasutoshi IdaYasuhiro Fujiwara

Residual Networks with convolutional layers are widely used in the field of machine learning. Since they effectively extract features from input data by stacking multiple layers, they can achieve high accuracy in many applications... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.