# Tensorflow Implementation of Deep SVDD This repository provides a [Tensorflow](https://www.tensorflow.org/) implementation of the Deep SVDD method presented in ICML 2018 paper ”Deep One-Class Classification”.
The author’s implementation of Deep-SVDD in PyTorch is at [https://github.com/lukasruff/Deep-SVDD-PyTorch](https://github.com/lukasruff/Deep-SVDD-PyTorch).
## Citation and Contact You find a PDF of the Deep One-Class Classification ICML 2018 paper at [http://proceedings.mlr.press/v80/ruff18a.html](http://proceedings.mlr.press/v80/ruff18a.html).
## Installation This code is written in Python 3.5 and tested with Tensorflow 1.12.
Install using pip or clone this repository.
1. Installation using pip: `bash pip install deep-svdd `
and
`python from dsvdd import DeepSVDD `
Clone this repository:
`bash git clone https://github.com/nuclearboy95/Deep-SVDD-Tensorflow.git `
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Release files for deep-svdd 1.3
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| Tags | Python 3 |
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