https://github.com/curiousily/credit-card-fraud-detection-using-autoencoders-in-keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
https://github.com/curiousily/credit-card-fraud-detection-using-autoencoders-in-keras

anomaly-detection autoencoders credit-card-fraud deep-learning keras tensorflow tensorflow-tutorial

Last synced: 3 days ago
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iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

• Host: GitHub
• URL: https://github.com/curiousily/credit-card-fraud-detection-using-autoencoders-in-keras
• Owner: curiousily
• License: mit
• Created: 2017-06-09T13:58:13.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2019-06-28T09:27:46.000Z (over 5 years ago)
• Last Synced: 2024-10-29T23:42:17.535Z (3 months ago)
• Topics: anomaly-detection, autoencoders, credit-card-fraud, deep-learning, keras, tensorflow, tensorflow-tutorial
• Language: Jupyter Notebook
• Homepage: https://www.curiousily.com/posts/credit-card-fraud-detection-using-autoencoders-in-keras/
• Size: 67.9 MB
• Stars: 520
• Watchers: 19
• Forks: 279
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Credit Card Fraud Detection using Autoencoders in Keras

Full explanation can be found in [this blog post](https://www.curiousily.com/posts/credit-card-fraud-detection-using-autoencoders-in-keras/). The source code is compatible with TensorFlow 1.1 and Keras 2.0.4

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