4. Autoencoders

Опубликовано: 31 Май 2026
на канале: Weights & Biases
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Autoencoders are a really cool application of neural nets, and a great place to start if you want to learn more about generative adversarial networks (GANs). They are used to compress information, generate synthetic images and remove noise from images. In this class we will walk you through how to create, optimize and debug your own autoencoder.

Github repo: https://github.com/lukas/ml-class
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