autoenc_base_ed: Autoencoder base (encoder + decoder)

In daltoolbox: Leveraging Experiment Lines to Data Analytics

Autoencoder base (encoder + decoder)

Description

Base class for autoencoders that both encode and decode. Intended to be subclassed by concrete implementations that learn to compress and reconstruct inputs.

Usage

autoenc_base_ed(input_size, encoding_size)

Arguments

input_size	dimensionality of the input vector
encoding_size	dimensionality of the latent (encoded) vector

Details

This base does not train or transform by itself (identity). Implementations should override fit() to learn parameters and transform() to perform encode+decode.

Value

returns an autoenc_base_ed object

References

Hinton, G. E., & Salakhutdinov, R. R. (2006). Reducing the Dimensionality of Data with Neural Networks. Science.

Examples

# See an end‑to‑end example at:
# https://github.com/cefet-rj-dal/daltoolbox/blob/main/autoencoder/autoenc_base_ed.md

daltoolbox documentation built on Nov. 5, 2025, 7:09 p.m.