CMU, UT Austin & Facebook’s CNN Layer Width Optimization Strategies Achieve 320x Overhead Reduction

Optimizing the channel counts for different layers of a convolutional neural network (CNN) is a proven way to improve efficiency and boost model test performance. The method however has its drawbacks, as it adds a large computational overhead.