https://github.com/nishant2018/autoencoder-generative-ai-mnist

Autoencoders are a type of neural network used for unsupervised learning. In unsupervised learning, the model learns patterns from the data without using labeled outcomes. The goal is to find the underlying structure or representation of the data.
https://github.com/nishant2018/autoencoder-generative-ai-mnist

autoencoder autoencoder-mnist autoencoders generative-ai

Last synced: 4 months ago
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Autoencoders are a type of neural network used for unsupervised learning. In unsupervised learning, the model learns patterns from the data without using labeled outcomes. The goal is to find the underlying structure or representation of the data.

• Host: GitHub
• URL: https://github.com/nishant2018/autoencoder-generative-ai-mnist
• Owner: Nishant2018
• Created: 2024-06-27T15:11:58.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-06-28T02:31:55.000Z (about 1 year ago)
• Last Synced: 2025-01-09T07:50:15.289Z (6 months ago)
• Topics: autoencoder, autoencoder-mnist, autoencoders, generative-ai
• Language: Jupyter Notebook
• Homepage: https://www.kaggle.com/code/endofnight17j03/autoencoder-generative-ai-mnist
• Size: 25.4 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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Autoencoders are a type of neural network used for unsupervised learning. In unsupervised learning, the model learns patterns from the data without using labeled outcomes. The goal is to find the underlying structure or representation of the data.