GitHub topics: autoencoder-cifar10
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.
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05rs/Autoencoders
The aim of an autoencoder is to learn a representation (encoding) for a set of data, typically for the purpose of dimensionality reduction.
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