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https://github.com/aqibsaeed/place-recognition-using-autoencoders-and-nn

Place recognition with WiFi fingerprints using Autoencoders and Neural Networks
https://github.com/aqibsaeed/place-recognition-using-autoencoders-and-nn

autoencoders deep-learning neural-networks place-recognition wifi-fingerprints

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Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

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### Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

Tensorflow implementation of model discussed in the following paper: [Low-effort place recognition with WiFi fingerprints using deep learning](https://arxiv.org/pdf/1611.02049v1.pdf)

### Tools Required

Python 3 is used during development and following libraries are required to run the code provided in the notebook:
* Tensorflow
* Numpy
* Pandas

### Dataset

The UJIIndoorLoc dataset used for model training and testing, can be downloaded from the following [[link]](
https://archive.ics.uci.edu/ml/datasets/UJIIndoorLoc).

Note: If you see mistakes or want to suggest changes, please submit a pull request.