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 …
python 2.7 - keras autoencoder vs PCA - Stack Overflow
I am playing with a toy example to understand PCA vs keras autoencoder I have the following code for understanding PCA: import numpy as np import matplotlib.pyplot as plt from …
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 …
python - Too strong regularization for an autoencoder (Keras ...
Apr 27, 2017 · Stack Overflow for Teams Where developers & technologists share private knowledge with coworkers; Advertising Reach devs & technologists worldwide about your …
How is a linear autoencoder equal to PCA? - Stack Overflow
Mar 5, 2017 · Autoencoder: Is the decoder the mirrored version of the encoder? 2. Accessing reduced dimensionality of ...
python - Reducing Losses of Autoencoder - Stack Overflow
May 26, 2020 · Because you are forcing the encoder to represent an information of higher dimension with an information with lower dimension. So the lower the latent dimension is, the …
Difference between these implementations of LSTM Autoencoder?
Dec 8, 2020 · This does not defeat the idea of the LSTM autoencoder, because the embedding is applied independently to each element of the input sequence, so it is not encoded when it …
How does binary cross entropy loss work on autoencoders?
Sep 21, 2018 · Note that in the case of input values in range [0,1] you can use binary_crossentropy, as it is usually used (e.g. Keras autoencoder tutorial and this paper). …
Linear autoencoder using Pytorch - Stack Overflow
Sep 22, 2021 · This example should get you going. Please see code comments for further explanation: import torch # Use torch.nn.Module to create models class …
How to extract features from the encoded layer of an autoencoder?
Dec 8, 2019 · Therefore, I have implemented an autoencoder using the keras framework in Python. For simplicity, and to test my program, I have tested it against the Iris Data Set, telling …