cae2den_encode: Convolutional 2d Denoising Autoencoder - Encode

In daltoolbox: Leveraging Experiment Lines to Data Analytics

Convolutional 2d Denoising Autoencoder - Encode

Description

Creates an deep learning convolutional denoising autoencoder to encode a sequence of observations. It wraps the pytorch library.

Creates an deep learning convolutional autoencoder to encode a sequence of observations. It wraps the pytorch library.

Usage

cae2den_encode(
  input_size,
  encoding_size,
  batch_size = 32,
  num_epochs = 50,
  learning_rate = 0.001
)

cae2den_encode(
  input_size,
  encoding_size,
  batch_size = 32,
  num_epochs = 50,
  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

a c2den_encode_decode object.

a cae2den_encode object.

Examples

#See an example of using `c2den_encode_decode` at this
#[link](https://github.com/cefet-rj-dal/daltoolbox/blob/main/transf/c2den_encode.ipynb)
#See an example of using `cae2den_encode` at this
#[link](https://github.com/cefet-rj-dal/daltoolbox/blob/main/transf/cae2den_encode.ipynb)

daltoolbox documentation built on April 12, 2025, 1:28 a.m.