autoenc_denoise_ed {daltoolboxdp} | R Documentation |
Denoising Autoencoder - Encode
Description
Creates an deep learning denoising autoencoder to encode a sequence of observations. It wraps the pytorch library.
Usage
autoenc_denoise_ed(
input_size,
encoding_size,
batch_size = 32,
num_epochs = 1000,
learning_rate = 0.001,
noise_factor = 0.3
)
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 |
noise_factor |
level of noise to be added to the data |
Value
a autoenc_denoise_ed
object.
Examples
#See an example of using `autoenc_denoise_ed` at this
#https://github.com/cefet-rj-dal/daltoolbox/blob/main/autoencoder/autoenc_denoise_ed.md
[Package daltoolboxdp version 1.2.707 Index]