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.

Registration Overview

Prerequisite: Basic python programming skills

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

Learning Description

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

Sponsors

Since 1876, Texas A&M Engineering has awarded more than 116,000 degrees to talented problem solvers who have helped to change the world. TEES EDGE is Texas A&M’s access point for lifelong engineering education and innovation for professionals.

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