deep learning - When should I use a variational autoencoder as …
Jan 22, 2018 · deep-learning autoencoders variational-bayes See similar questions with these tags.
What're the differences between PCA and autoencoder?
Oct 15, 2014 · Both PCA and autoencoder can do demension reduction, so what are the difference between them? In what situation I should use one over another?
Why do we need autoencoders? - Cross Validated
Mar 23, 2019 · Recently, I have been studying autoencoders. If I understood correctly, an autoencoder is a neural network where the input layer is identical to the output layer. So, the …
What is the difference between convolutional neural networks ...
I can't tell you much about RBMs, but autoencoders and CNNs are two different kinds of things. An autoencoder is a neural network that is trained in an unsupervised fashion. The goal of an …
Choosing activation and loss functions in autoencoder
Jan 4, 2020 · Here is the tutorial: https://blog.keras.io/building-autoencoders-in-keras.html. However, I am confused with the choice of activation and loss for the simple one-layer …
Why binary crossentropy can be used as the loss function in …
Instead, KL-divergence is usually used as the loss function in this specific type of autoencoders. If you have any example of autoencoder trained using MSE and BCE loss and there is a …
mse - Loss function for autoencoders - Cross Validated
I am experimenting a bit autoencoders, and with tensorflow I created a model that tries to reconstruct the MNIST dataset. My network is very simple: X, e1, e2, d1, Y, where e1 and e2 …
What is the origin of the autoencoder neural networks?
Oct 4, 2016 · I searched on Google, Wikipedia, Google scholar, and more, but I could not find the origin of Autoencoders. Perhaps it's one of those concepts that evolved very gradually, and it's …
neural networks - How to Interpret Reconstruction Error for …
Oct 14, 2024 · Know someone who can answer? Share a link to this question via email, Twitter, or Facebook. Your Answer neural-networks autoencoders anomaly-detection
Prior in variational autoencoders - Cross Validated
May 1, 2022 · I am currently dealing with variational autoencoders where I've read the original paper "An introduction to variational Bayes" from Kingma and Welling. I am …