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 …
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 …
Feature Importance of a Pytorch AutoEncoder - Stack Overflow
Feb 24, 2024 · An alternative way of assessing feature importance for an autoencoder is to record the latent representation of each sample. You can run a mutual information analysis to see the …
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 …
python - LSTM Autoencoder problems - Stack Overflow
TLDR: Autoencoder underfits timeseries reconstruction and just predicts average value. Question Set-up: Here is a summary of my attempt at a sequence-to-sequence autoencoder. This …
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 …
pytorch - Autoencoder with nn.Sequential - Stack Overflow
Feb 12, 2024 · i wrote this code, in order to implement an autoencoder with nn.sequential module, but i have an error: latent_dims=4 class Encoder(nn.Module): def __init__(self ...
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.
How is a linear autoencoder equal to PCA? - Stack Overflow
Mar 5, 2017 · This paper also shows that using a linear autoencoder, it is possible not only to compute the subspace spanned by the PCA vectors, but it is actually possible to compute the …
machine learning - Why is the decoder in an autoencoder uses a …
Dec 15, 2020 · Why is the decoder in an autoencoder uses a sigmoid on the last layer? Asked 5 years ago Modified 3 years, 11 months ago Viewed 7k times