Submission information
Submission Number: 197
Submission ID: 4054
Submission UUID: f98e24be-468f-4c78-8a57-c96713868d38
Submission URI: /form/resource
Created: Thu, 09/28/2023 - 15:00
Completed: Thu, 09/28/2023 - 15:02
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 | Feed Forward NNs and Gradient Descent |
| Category | Website |
| Skill Level | Intermediate |
| Description | Feed-forward neural networks are a simple type of network that simply rely on data to be "fed-forward" through a series of layers that makes decisions on how to categorize datum. Gradient descent is a type of optimization tool that is often used to train machines. These two areas in ML are good starting points and are the easiest types of neural network/optimization to understand. |
| Link to Resource | |
| Tags | deep-learning, machine-learning, neural-networks |
| Domain | ACCESS CSSN, Campus Champions, CAREERS, CCMNet, Great Plains, Kentucky, Northeast |
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