https://github.com/ardawanism/autoencoder_ml_kntu_spring2024

In this repo, a clean and efficient implementation of Fully-Connected or Dense Autoencoder is provided. The code alongside the video content are created for Machine Learning course instructed at Khajeh Nasir Toosi University of Technology (KNTU).
https://github.com/ardawanism/autoencoder_ml_kntu_spring2024

autoencoder autoencoder-neural-network autoencoders deep-learning deep-neural-networks machine-learning

Last synced: 3 days ago
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In this repo, a clean and efficient implementation of Fully-Connected or Dense Autoencoder is provided. The code alongside the video content are created for Machine Learning course instructed at Khajeh Nasir Toosi University of Technology (KNTU).

• Host: GitHub
• URL: https://github.com/ardawanism/autoencoder_ml_kntu_spring2024
• Owner: Ardawanism
• Created: 2024-06-22T09:47:44.000Z (7 months ago)
• Default Branch: master
• Last Pushed: 2024-06-22T09:59:09.000Z (7 months ago)
• Last Synced: 2024-06-22T19:14:27.351Z (7 months ago)
• Topics: autoencoder, autoencoder-neural-network, autoencoders, deep-learning, deep-neural-networks, machine-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 57.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
In this repo, a clean and efficient implementation of Fully-Connected or Dense Autoencoder is provided. The code alongside the video content are created for Machine Learning course instructed at Khajeh Nasir Toosi University of Technology (KNTU).