AutoEncoders for Training Compact Deep Learning RF Classifiers for Wireless Protocols

no code implementations • 13 Apr 2019 • Silvija Kokalj-Filipovic, Rob Miller, Joshua Morman

We show that compact fully connected (FC) deep learning networks trained to classify wireless protocols using a hierarchy of multiple denoising autoencoders (AEs) outperform reference FC networks trained in a typical way, i. e., with a stochastic gradient based optimization of a given FC architecture.

Denoising