daltoolbox (version 1.1.727)

cae2den_encode: 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
)

Value

a c2den_encode_decode object.

a cae2den_encode object.

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

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)