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 …
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 …
Autoencoder: using cosine distance as loss function
Sep 10, 2019 · Autoencoder: using cosine distance as loss function Ask Question Asked 6 years, 2 months ago Modified 5 years, 8 months ago
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 …
Autoencoder loss is not decreasing (and starts very high)
Jul 9, 2018 · Autoencoder loss is not decreasing (and starts very high) Asked 7 years, 3 months ago Modified 7 years, 3 months ago Viewed 13k times
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 4 years, 10 months ago Modified 3 years, 9 months ago Viewed 7k times
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 …
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 …
autoencoder - how to set threshold value by looking at loss ...
Nov 17, 2021 · Without labeled data, it is not possible to estimate how many False Alarms (false positives) or Missed Detections (false negatives) an anomaly detection system will have. What …
convolution - How to implement a 1D Convolutional Auto …
Mar 15, 2018 · The input to the autoencoder is then --> (730,128,1) But when I plot the original signal against the decoded, they are very different!! Appreciate your help on this.