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 …
deep learning - AutoEncoder Reconstruction error is not …
Mar 20, 2025 · AutoEncoder Reconstruction error is not decreasing while training data increse Asked 9 months ago Modified 9 months ago Viewed 36 times
Variational Autoencoders: MSE vs BCE - Stack Overflow
3 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 …
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 - Stack Overflow
Jun 20, 2017 · I'm trying to build a LSTM autoencoder with the goal of getting a fixed sized vector from a sequence, which represents the sequence as good as possible. This autoencoder …
Autoencoder: using cosine distance as loss function
Sep 10, 2019 · Hey so the Keras implementation of Cosine Similarity is called as Cosine Proximity. It just has one small change, that being cosine proximity = -1*(Cosine Similarity) of …
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 …
machine learning - Variational Autoencoders VS Transformers
Jan 8, 2022 · Variational AutoEncoder Transformers I'm more curious in which cases variational autoencoders could beat ChatGPT: Can you name some cases?
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 …