autoenc_ed {daltoolboxdp} | R Documentation |
Autoencoder - Encode-decode
Description
Creates an deep learning autoencoder to encode-decode a sequence of observations. It wraps the pytorch and reticulate libraries.
Usage
autoenc_ed(
input_size,
encoding_size,
batch_size = 32,
num_epochs = 1000,
learning_rate = 0.001
)
Arguments
input_size |
input size |
encoding_size |
encoding size |
batch_size |
size for batch learning |
num_epochs |
number of epochs for training |
learning_rate |
learning rate |
Value
returns a autoenc_ed
object.
Examples
#See an example of using `autoenc_ed` at this
#https://github.com/cefet-rj-dal/daltoolbox/blob/main/autoencoder/autoenc_ed.md
[Package daltoolboxdp version 1.2.707 Index]