https://github.com/zackakil/webpage-autoencoder

Showing how you can embed and functioning auto-encoder inside a webpage using tensorflow.js.
https://github.com/zackakil/webpage-autoencoder

autoencoder deep-learning generative-models keras machine-learning tensorflow-js

Last synced: 1 day ago
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Showing how you can embed and functioning auto-encoder inside a webpage using tensorflow.js.

• Host: GitHub
• URL: https://github.com/zackakil/webpage-autoencoder
• Owner: ZackAkil
• Created: 2019-10-26T01:16:19.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2023-10-17T09:05:51.000Z (about 1 year ago)
• Last Synced: 2024-04-17T22:07:57.174Z (7 months ago)
• Topics: autoencoder, deep-learning, generative-models, keras, machine-learning, tensorflow-js
• Language: Jupyter Notebook
• Homepage: https://zackakil.github.io/webpage-autoencoder
• Size: 6.05 MB
• Stars: 4
• Watchers: 3
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Webpage Autoencoder

![demo](demo.gif)

Showing how you can embed and functioning auto-encoder inside a webpage using tensorflow.js.

This was inspired by the learning I did through reading David Foster's book [Generative Deep Learning](https://www.oreilly.com/library/view/generative-deep-learning/9781492041931/) which explained how to build an auto-encoder in keras.

# [Play with the demo](https://zackakil.github.io/webpage-autoencoder)