In this lab, we introduce some basic methods for utilizing a Convolutional Neural Network (CNN) to process Radio Frequency (RF) signals. More specifically, we look at the classic problem of detecting a weak signal corrupted by noise. We show you how to leverage the NVIDIA DIGITS application to read in a dataset, train a CNN, adjust hyper-parameters and then test and evaluate the performance of your model.

Lab created by KickView - Intelligent Processing Applications
Lab Details
Tokens Required: 30 Tokens
Levels: Beginner
Duration: 01 h:30 m
Access Time: 01 h:55 m
Setup Time: 00 h:05 m
Tags: Deep Learning, self-paced, Machine Learning, DIGITS
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