Submission information
Submission Number: 200
Submission ID: 4057
Submission UUID: 44b4f6c5-69fe-4953-92fb-1547bcb84d45
Submission URI: /form/resource
Created: Thu, 09/28/2023 - 15:19
Completed: Thu, 09/28/2023 - 15:20
Changed: Fri, 03/14/2025 - 11:43
Remote IP address: 50.217.59.154
Submitted by: Robin Hwang
Language: English
Is draft: No
Webform: Knowledge Base Resources
Approved: Yes
Title: Handwritten Digits Tutorial in PyTorch
Category: Website
Skill Level:
Intermediate (305)
Description:
This tutorial is essentially the "hello world" of image recognition and
feed-forward neural network (using PyTorch). Using the MNIST database (filled
within images of handwritten digits), the tutorial will instruct how to build
a feed-forward neural network that can recognize handwritten digits. A solid
understanding of feed-forward and back-propagation is recommended.
Link to Resource:
- Handwritten Digits PyTorch (https://towardsdatascience.com/handwritten-digit-mnist-pytorch-977b5338e627)
Tags:
ai (271), visualization (781), deep-learning (303), image-processing (299), machine-learning (272), neural-networks (435), pytorch (471), python (69)
Domain:
ACCESS CSSN (780), Campus Champions (572), CAREERS (323), CCMNet (835), Great Plains (311), Kentucky (322), Northeast (308)
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