/NMTindoorLoc

Private project after attending CS224n

Primary LanguagePython

Interpreting indoor positioning as neural machine translation (NMT) problem

This repository is meant as final project after having attended CS224N (Deep Learning for Natural Language Processing). Instead of targeting a dedicated NLP problem, the goal of this project is to apply the learned ideas to a different domain – indoor positioning. For educational purposes, the models are implemented in Tensorflow by subclassing tf.keras.Model as well as in PyTorch by subclassing torch.nn.Module. Please open the README.ipynb for further details.

Model architecture