Apress Source Code

This repository accompanies Beginning Anomaly Detection Using Python-Based Deep Learning by Sridhar Alla and Suman Adari (Apress, 2019).

Download the files as a zip using the green button, or clone the repository to your machine using Git.

Releases

Release v1.0 corresponds to the code in the published book, without corrections or updates.

See the file Contributing.md for more information on how you can contribute to this repository.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
data		data
9781484251768.jpg		9781484251768.jpg
Autoencoder.ipynb		Autoencoder.ipynb
CNNAutoencoder.ipynb		CNNAutoencoder.ipynb
Contributing.md		Contributing.md
DenoisingAutoencoder.ipynb		DenoisingAutoencoder.ipynb
Encoder-decoder TCN Credit card-supervised.ipynb		Encoder-decoder TCN Credit card-supervised.ipynb
Isolation Forest KDDCUP 1999 final.ipynb		Isolation Forest KDDCUP 1999 final.ipynb
Keras MNIST CNN.ipynb		Keras MNIST CNN.ipynb
Keras code.ipynb		Keras code.ipynb
LICENSE.txt		LICENSE.txt
LSTM1.ipynb		LSTM1.ipynb
OCSVM KDDCUP 1999.ipynb		OCSVM KDDCUP 1999.ipynb
PyTorch .ipynb		PyTorch .ipynb
PyTorch MNIST CNN.ipynb		PyTorch MNIST CNN.ipynb
RBM on credit card final.ipynb		RBM on credit card final.ipynb
RBM on kddcup final.ipynb		RBM on kddcup final.ipynb
README.md		README.md
TCN Pytorch Credit Card Final.ipynb		TCN Pytorch Credit Card Final.ipynb
TCN on credit card.ipynb		TCN on credit card.ipynb
VariationalAutoencoder.ipynb		VariationalAutoencoder.ipynb
errata.md		errata.md