https://github.com/richardslater/ai-ml-playground

A playground for Artificial Intelligence and Machine Learning, mostly experiments, possibly something more here and there.
https://github.com/richardslater/ai-ml-playground

art artificial-intelligence machine-learning neural-network vector-quantization

Last synced: about 1 year ago
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A playground for Artificial Intelligence and Machine Learning, mostly experiments, possibly something more here and there.

• Host: GitHub
• URL: https://github.com/richardslater/ai-ml-playground
• Owner: RichardSlater
• License: mit
• Created: 2022-02-11T17:51:01.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2022-05-12T18:43:46.000Z (almost 4 years ago)
• Last Synced: 2025-01-13T09:32:40.654Z (about 1 year ago)
• Topics: art, artificial-intelligence, machine-learning, neural-network, vector-quantization
• Language: Jupyter Notebook
• Homepage:
• Size: 118 KB
• Stars: 0
• Watchers: 2
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

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README

          
# Artificial Inteligence and Machine Learning playground

A playground for Artificial Intelligence and Machine Learning, mostly experiments, possibly something more here and there.

## Terminology

Given I know next to nothing about this field, here is some terminology I have picked up along the way.  It's entirely possible that I have got something wrong, in which case I will not be offended if you reach out to me and point out my mistkaes:

 - **PSNR**: Peak Signal-to-Noise Ratio is an expression for the ratio between the maximum possible value (power) of a signal and the power of distorting noise that affects the quality of its representation. [[1]][ni-psnr]

 - **Epoc**: The number of passes over the dataset to spend training the model. 

  [ni-psnr]: https://www.ni.com/en-gb/innovations/white-papers/11/peak-signal-to-noise-ratio-as-an-image-quality-metric.htm