https://github.com/shilangyu/iml-autoencoder

Project for the Introduction to machine learning course on Warsaw University of Technology
https://github.com/shilangyu/iml-autoencoder

autoencoder conv-autoencoder flux julia machine-learning

Last synced: 2 months ago
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Project for the Introduction to machine learning course on Warsaw University of Technology

• Host: GitHub
• URL: https://github.com/shilangyu/iml-autoencoder
• Owner: shilangyu
• Created: 2021-12-05T16:17:09.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2022-01-05T21:59:59.000Z (over 4 years ago)
• Last Synced: 2025-02-02T04:43:46.892Z (over 1 year ago)
• Topics: autoencoder, conv-autoencoder, flux, julia, machine-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 3.99 MB
• Stars: 0
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Convolutional Autoencoder

Implementation of a convolutional autoencoder in Julia using Flux.

![Model architecture](assets/architecture.png)

All of the interesting info can be found in the [Jupyter Notebook](autoencoder.ipynb). In summary, a model learns how to represent a whole image of a digit in just two numbers (which is a 99.21% compression rate).