Neural Networks with PyTorch

• Author: Ibrahim Alabi (Computing Ph.D., Boise State University)

• Duration: 1 Hour

Welcome to the Introduction to Neural Networks with PyTorch tutorial! In this session, we’ll explore the basics of neural networks and how to implement them using PyTorch, a popular deep learning framework. The goal is to help you get acquainted with the fundamental concepts of neural networks and give you some hands-on experience with PyTorch. Whether you’re new to neural networks or looking to refresh your knowledge, this tutorial is designed to guide you through the key ideas at a comfortable pace.

Note

Learning Goals

By the end of this workshop, you will be able to:

• Understand the basic concepts behind neural networks.

• Get familiar with the PyTorch framework.

• Build and train a simple neural network using PyTorch.

• Apply neural network concepts to predict snow density using SNOTEL data.

• Machine Learning Refresher (5 mins)
• Introduction to Neural Networks
• PyTorch Basics
• Data Download and Cleaning
• Building and Training a Feed Forward Neural Network in PyTorch