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A collection of 5 posts

Deep Learning

Deep Learning Meets DSP: OFDM Signal Detection

In this blog post, we'll focus specifically on detection of RF signals modulated using Orthogonal Frequency Division Multiplexing (OFDM) using deep learning.

Krishna Karra Krishna Karra
Deep Learning

Choosing a Convolutional Neural Network Architecture for Real-Time Object Tracking (Part 2)

This is part 2 of 3 in a series about selecting appropriate network architectures for real-time object tracking. In part 1 we compared the inference speed of various existing object detection networks. Now

Tevis Gehr
Deep Learning

Choosing a Convolutional Neural Network Architecture for Real-Time Object Tracking (Part 1)

In a previous blog post we talked about how to train a convolutional neural network(CNN) for object detection in images. Object detection combines classification and localization. One use for object detection is

Tevis Gehr
DGX

Getting Python 3 running on a DGX

We recieved a DGX station a few weeks ago and it is a powerhouse. We will not dive into the specs of the machine since it was covered in a previous post, where

Kyle Muchmore
DGX

The DGX has arrived!

If you've ever had the opportunity to train a neural network, you've probably realized that it's a major time saver to start with weights from a pre-trained model. Training a model from scratch

Kyle Muchmore
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