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 essentially …
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 filters in this …
Extract encoder and decoder from trained autoencoder
Sep 11, 2018 · Use this best model (manually selected by filename) and plot original image, the encoded representation made by the encoder of the autoencoder and the prediction using the …
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 other hand, 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 …
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 image was …
python - Keras autoencoder - Stack Overflow
Mar 1, 2017 · I've worked a long time ago with neural networks in Java and now I'm trying to learn to use TFLearn and Keras in Python. I'm trying to build an autoencoder, but as I'm experiencing problems …
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 below is not …
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.
Does it make sense to train a CNN as an autoencoder?
So, does anyone know if I could just pretrain a CNN as if it was a "crippled" autoencoder, or would that be pointless? Should I be considering some other architecture, like a deep belief network, for instance?