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Introduction to Deep Learning in Pytorch
Submission navigation links for Knowledge Base Resources
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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
Tags
ai
,
deep-learning
,
image-processing
,
machine-learning
,
neural-networks
,
pytorch
,
gpu
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
Domain
ACCESS CSSN
,
Campus Champions
,
CAREERS
,
CCMNet
,
Great Plains
,
Kentucky
,
Northeast