Sometimes , the raw data doesn't contains sufficient information like biological experimental data.I have a gene expression dataset with size 100*1000. I want to use Denoising AutoEncoder to get an reconstructed output with the same size(100*1000). How it would be possible?
Here you can find an interesting article about autoencoders. The denosing case is also mentioned - I hope that it will answer your question :
https://medium.com/a-year-of-artificial-intelligence/lenny-2-autoencoders-and-word-embeddings-oh-my-576403b0113a#.2jdcn3ctk
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