autoenc_stacked_e {daltoolboxdp} | R Documentation |
Stacked Autoencoder - Encode
Description
Creates an deep learning stacked autoencoder to encode a sequence of observations. The autoencoder layers are based on DAL Toolbox Vanilla Autoencoder It wraps the pytorch library.
Usage
autoenc_stacked_e(
input_size,
encoding_size,
batch_size = 32,
num_epochs = 1000,
learning_rate = 0.001,
k = 3
)
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 |
k |
number of AE layers in the stack |
Value
a autoenc_stacked_e_decode
object.
#See an example of using autoenc_stacked_e_decode
at this
#https://github.com/cefet-rj-dal/daltoolbox/blob/main/autoencoder/autoenc_stacked_e.md
[Package daltoolboxdp version 1.2.707 Index]