Description

 599
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
Language globe Available Languages:

To take a lab in a different language change the default language in your account

En English
Zh 简体中文

Reviews 162

  1. dong yun

    dong yun Reviewed about 1 month ago
  2. chandler zhou

    chandler zhou Reviewed about 1 month ago
  3. Peter Pyun
    This is short, but good material. Especially I liked fine-tuning training one with pre-trained models.
    Peter Pyun Reviewed about 1 month ago
  4. Tim Seiger

    Tim Seiger Reviewed about 1 month ago
  5. Jeffrey Layton
    Good lab. It's maybe a little short but still a great way to learn about learning rates.
    Jeffrey Layton Reviewed about 1 month ago
Support