GitiHubi / Deepai
Licence: gpl-3.0
Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
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Detection of Accounting Anomalies using Deep Autoencoder Neural Networks
An interactive lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The the lab content is based on Python, IPython Notebook, and PyTorch.
The recording of our talk is available via NVIDIA's GTC On-Demand under the following external link.
Running the Notebook
Reference
The lab is inspired by our work "Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks" by Marco Schreyer, Timur Sattarov, Damian Borth, Andreas Dengel and Bernd Reimer.
The publication is available via arXiv under the following link: https://arxiv.org/abs/1709.05254
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