Welcome to the supplementary experiments for the paper 'A Showcase of the Use of Autoencoders in Feature Learning Applications'
Install this package using:
devtools::install_github("ari-dasci/autoencoder-showcase")Inside this package, you will find 4 main functions:
anomaly_detection()
Creates a synthetic multi-valued time series with an anomalous region and performs anomaly detection.visualization()
Downloads the Statlog dataset and compacts it to 2 and 3 dimensions for visualization.hashing()
Loads IMDB dataset from Keras, trains an autoencoder and hashes the test subset, measuring the correspondance between distance among instances and Hamming distance among their hashes.denoising()
Loads CIFAR10 dataset and trains a denoising autoencoder, performs denoising over the test subset.