This online workshop will provide the requisite background for training deep learning models in PyTorch. First, we will build a neural network from scratch and discuss back-propagation. Second, we will discuss how to load custom data sets for training. Finally, you will train a neural network on the classic MNIST data set.
Prerequisite: You should be comfortable with Python, Pandas, and Numpy.
Location and Address
This is a virtual event hosted by the University Library System.