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 2.7 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.