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 |
| 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 | |
| Tags | ai, visualization, deep-learning, image-processing, machine-learning, neural-networks, pytorch, python |
| Domain | ACCESS CSSN, Campus Champions, CAREERS, CCMNet, Great Plains, Kentucky, Northeast |
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