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https://github.com/nishant2018/convolutional-autoencoder-cifar10-gen-ai
Autoencoders are a type of neural network used to learn efficient codings of unlabeled data. They work by compressing the input into a latent space representation and then reconstructing the output from this representation.
https://github.com/nishant2018/convolutional-autoencoder-cifar10-gen-ai
autoencoder autoencoder-cifar10 autoencoders
Last synced: 3 days ago
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Autoencoders are a type of neural network used to learn efficient codings of unlabeled data. They work by compressing the input into a latent space representation and then reconstructing the output from this representation.
- Host: GitHub
- URL: https://github.com/nishant2018/convolutional-autoencoder-cifar10-gen-ai
- Owner: Nishant2018
- Created: 2024-06-28T03:28:06.000Z (5 months ago)
- Default Branch: main
- Last Pushed: 2024-06-28T03:29:29.000Z (5 months ago)
- Last Synced: 2024-06-28T04:36:40.729Z (5 months ago)
- Topics: autoencoder, autoencoder-cifar10, autoencoders
- Language: Jupyter Notebook
- Homepage: https://www.kaggle.com/code/endofnight17j03/convolutional-autoencoder-cifar10-gen-ai
- Size: 180 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0