aae_encode_decode: Adversarial Autoencoder - Encode

In daltoolbox: Leveraging Experiment Lines to Data Analytics

Adversarial Autoencoder - Encode

Description

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

Usage

aae_encode_decode(
  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

a aae_encode_decode object.

Examples

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

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