loss  R Documentation 
Implementation of various loss functions to measure statistical discrepancy between two datasets.
loss(x, y, type = c("MMD", "CvM", "MSE", "BCE"), ...)
MMD(x, y, ...)
CvM(x, y)
x 
2dtensor or 
y 
2dtensor or 
type 

... 
additional arguments passed to the underlying functions,
most notably 
loss()
returns a 0d tensor containing the loss.
MMD()
and CvM()
return a 0d tensor (if x
and y
are tensors) or numeric(1)
(if x
or
y
are R matrices).
Marius Hofert and Avinash Prasad
Kingma, D. P. and Welling, M. (2014). Stochastic gradient VB and the variational autoencoder. Second International Conference on Learning Representations (ICLR). See https://keras.rstudio.com/articles/examples/variational_autoencoder.html
Rémillard, B. and Scaillet, O. (2009). Testing for equality between two copulas. Journal of Multivariate Analysis 100, 377–386.
FNN()
where loss()
is used.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.