Introduction to Deep Learning in Pytorch

Submission information

Submission Number: 285

Submission ID: 4309

Submission UUID: 617505b0-7a2b-45f7-9a3b-67568705e08c

Submission URI: /form/resource

Created: Thu, 01/18/2024 - 13:41

Completed: Thu, 01/18/2024 - 13:45

Changed: Fri, 03/14/2025 - 11:43

Remote IP address: 2620:103:a000:101:ecf5:ca33:2a11:ff23

Submitted by: Dane Smith

Language: English

Is draft: No

Webform: Knowledge Base Resources

Approved	Yes
Title	Introduction to Deep Learning in Pytorch
Category	Learning
Skill Level	Beginner, Intermediate
Description	This workshop series introduces the essential concepts in deep learning and walks through the common steps in a deep learning workflow from data loading and preprocessing to training and model evaluation. Throughout the sessions, students participate in writing and executing simple deep learning programs using Pytorch – a popular Python library for developing, training, and deploying deep learning models.
Link to Resource	Landing Page Pytorch Quickstart Pytorch Basics Pytorch GPU Support Regression and Classification with Fully Connected Neural Networks High Dimensional Data Datasets and data loading Building the network Computer Vision and Convolutional Neural Networks
Tags	ai, deep-learning, image-processing, machine-learning, neural-networks, pytorch, gpu
Domain	ACCESS CSSN, Campus Champions, CAREERS, CCMNet, Great Plains, Kentucky, Northeast
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