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:

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En English
Zh 简体中文

Reviews 162

  1. REFIK CAN  MALLI

    REFIK CAN MALLI Reviewed 5 days ago
  2. Wing Cheong Chan

    Wing Cheong Chan Reviewed 7 days ago
  3. Bill Chen
    Quite good
    Bill Chen Reviewed 8 days ago
  4. Ljubisa Punosevac
    The lab was good. However, it would be really good if you can work on a publicly available dataset. That way people could redo lab over and over again. Like this, you do not have much chance for it.
    Ljubisa Punosevac Reviewed 10 days ago
  5. Alexey Romanenko

    Alexey Romanenko Reviewed 10 days ago
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