Summary

Introduction to Deep Learning with PyTorch

This course introduces the fundamentals of deep learning with PyTorch, a free and open-source machine learning framework developed primarily by Facebook's AI Research (FAIR) Lab. It will cover the basic concepts of deep learning and PyTorch with examples. PyTorch is based on the Torch library and can be used for various applications such as computer vision. It provides tensor computing that could be accelerated with GPUs.

Course Overview

Prerequisite: Basic python programming skills

Students completing this course will earn 3 professional development hours (PDH).
Please direct questions about the course to Help@hprc.tamu.edu . For questions related to the registration process, please contact TEES EDGE.

Learning Objectives

Students will learn about the fundamentals of deep learning, PyTorch, and the procedure to train a neural network with PyTorch during this online, asynchronous course.

Target Audience

Students with interest in deep learning with PyTorch.