2020-11-08, 15:55–15:55, Posters
The Nvidia Jetson Nano is a small embedded compute board with
four CPU cores and a 128-core Maxwell generation GPU.
We utilize the PyTorch framework to train a convolutional neural network image classifier
using a small imaging subset of the VLA Sky Survey that is split
into both testing and validation collections. We contruct a simple shape classification
scheme and report on the loss function for the network that can be run on the Nano hardware.