Questions tagged [denoising-autoencoder]

For questions related to the de-noising auto-encoder model.

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Can an Autoencoder be used to create a simple text-completion plugin (code-completion for programming)?

Can an Autoencoder neural network be used to create a simple code completion plugin for a developer using a certain programming language ? The idea is that the training data will be generated from ...
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Is the GAN architecture better suited for medical image denoising than the CNN?

I'm considering using GANs for medical image denoising, based on previous literature, like this and this. My input to the GAN would be a high-noise image and my ideal output would be a low-noise, high-...
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How can a de-noising auto-encoder act as an anomaly detection model?

In some research papers, I have seen that, for training the autoencoders, instead of giving the non-anomalous input images, they add some anomalies to the normal input images, and train the auto-...
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How much data do we need for making a successful de-noising auto-encoder?

Is there a guide how much data do you need for making successful denoising model using autoencoders? Or the rule is, the more data, the better it is? I tried with small dataset 350 samples, to see ...