Why my autoencoder model is not learning? - Stack Overflow
Apr 15, 2020 · If you want to create an autoencoder you need to understand that you're going to reverse process after encoding. That means that if you have three convolutional layers with …
How UNET is different from simple autoencoders? - Stack Overflow
Feb 3, 2021 · UNET architecture is like first half encoder and second half decoder . There are different variations of autoencoders like sparse , variational etc. They all compress and …
What is the difference between an autoencoder and an encoder …
Jun 18, 2019 · I want to know if there is a difference between an autoencoder and an encoder-decoder.
What is an autoencoder? - Data Science Stack Exchange
Aug 17, 2020 · The autoencoder then works by storing inputs in terms of where they lie on the linear image of . Observe that absent the non-linear activation functions, an autoencoder …
neural network - How can autoencoders be used for clustering?
1 Before asking 'how can autoencoder be used to cluster data?' we must first ask 'Can autoencoders cluster data?' Since an autoencoder learns to recreate the data points from the …
Reconstruction error per feature for autoencoders? - Stack Overflow
May 8, 2023 · Usually, autoencoders are symmetric structures so you can reproduce a decoder equivalent to the encoder. A great resource for learning autoencoder is Deep Learning book …
Image generation using autoencoder vs. variational autoencoder
Sep 17, 2021 · I think that the autoencoder (AE) generates the same new images every time we run the model because it maps the input image to a single point in the latent space. On the …
Variational Autoencoders: MSE vs BCE - Stack Overflow
I'm working with a Variational Autoencoder and I have seen that there are people who uses MSE Loss and some people who uses BCE Loss, does anyone know if one is more correct that the …
keras autoencoder not converging - Stack Overflow
Aug 27, 2015 · Could someone please explain to me why the autoencoder is not converging? To me the results of the two networks below should be the same. However, the autoencoder …
machine learning - Variational Autoencoders VS Transformers
Jan 8, 2022 · I'm relatively new to the field, but I'd like to know how do variational autoencoders fare compared to transformers?