Feed Forward NNs and Gradient Descent

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
Yes
Feed Forward NNs and Gradient Descent
Website
Intermediate
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.
deep-learning, machine-learning, neural-networks
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