IS&T RCS Tutorial - Introduction to PyTorch CPU (Hands-on)

This tutorial will introduce the popular Python package PyTorch. PyTorch is an optimized tensor library for deep learning using GPUs and CPUs. In this tutorial you will learn: How to use PyTorch to build and train neural networks for binary classification. This tutorial requires Python programming experience. This tutorial will use the popular Jupyter Notebook system for working with Python code. You are welcome to use your own computer for this tutorial. If you do not have Python installed on your home machine, please read and follow these instructions prior to attending the tutorial. A conda environment file with the required packages and instructions for activation will be provided prior to the session. This environment will need to be installed and activated if you plan to work with your own machine.