# curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras

<https://repo.masters-masters.com/repos/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras>

[Accueil](https://repo.masters-masters.com/) › [curiousily](https://repo.masters-masters.com/owners/curiousily) › [Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras](https://repo.masters-masters.com/repos/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras)

curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras, dépôt open source à 591 étoiles sur GitHub. Carte Alpha de RepoMasters.

| Champ | Valeur |
| --- | --- |
| Propriétaire | [curiousily](https://repo.masters-masters.com/owners/curiousily) |
| Étoiles | 591 |
| Forks | 288 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | MIT |
| Création | 2017 |
| Sujets | tensorflow, keras, anomaly-detection, deep-learning, tensorflow-tutorial, autoencoders, credit-card-fraud |
| Rang | [Alpha (250 à 699 ★)](https://repo.masters-masters.com/ranks/b_movie) |
| Voir sur GitHub | [curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras](https://github.com/curiousily/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras) |

## Fiche du dépôt

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

Rang des dépôts qui ont 250 à 699 ★ sur GitHub. Probabilité publiée par carte tirée : 20 %. Rareté : Peu commune.

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