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
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 neural network tries to pr...
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 …
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 …
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 …
mse - Loss function for autoencoders - Cross Validated
I went through an autoencoder example listed at . The author used the binary cross-entropy loss function, and it seemed to work fine. I replaced it with the mse loss function, and the results …
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 …
autoencoders - Should I be using batchnorm and/or dropout in a …
May 1, 2022 · I am trying to design some generative NN models on datasets of RGB images and was debating on whether I should be using dropout and/or batch norm. Here are my thoughts …