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
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
Deep Learning Modulation Recognition Using Deep Learning In this blog post, we'll talk about how to apply deep learning to modulation recognition, a challenging problem that has many applications in the digital communications world.
Convolutional Neural Network Signal Detection Using Deep Learning There are many resources for learning how to use Deep Learning to process imagery. However, very few resources exist to demonstrate how to process data from other sensors such as acoustic, seismic, radio,