DeepSleep

Master thesis on sleep pattern analysis and classification. Exploring the application of neural networks to model the time-dependent, sequential nature of sleep patterns from pressure-based signals.

Dependencies Required

1. [TensorFlow][https://www.tensorflow.org/install/]

   Install using: pip install tensorflow

Installation Instructions

This project is based on python 2.7 and uses [Keras][https://keras.io] with TensorFlow as the backend to deploy and train deep learning models. Follow the steps to get the code running:

1. Create virtual environment

   • If using Anaconda for python:

   conda create -n yourenvname python=2.7 anaconda

   • If using system Python :

   virtualenv -p /usr/bin/python2.7 my_project

2. Activate the virtual environment:

   source activate yourenvname

   or

   source my_project/bin/activate

3. Install the requirements:

   pip install -r requirements.txt

4. Run code using:

   python run.py

Tensorboard

To run tensorboard and visualize the network's change over the compilation:

tensorboard --logdir=/full_path_to_your_logs