afcarl / dl_exercise

Deep Learning Exercise

Deep Learning Exercise

Here you'll find a data science exercise that may be solved with deep learning techniques. While you're encouraged to use deep learning, this problem can certainly be solved other ways. Be sure to document your thought processes and justify why you used your solution.

Limits

You shouldn't spend longer than 1-2 hours on this exercise. You won't be timed so be sure to relax and choose a time that suits you. It's perfectly acceptable if you don't complete the exercise. Just be sure to document your progress and explain your strategies. You're encouraged to use and cite prior research.

The Problem

The goal of this exercise is to build a reliable heartbeat detector given electrocardiogram (ECG) data.

Getting Started

You can either use git to clone this repository or you can use the button above to download it as a zip file.

The exercise is contained within a Jupyter Notebook. Once you have Jupyter installed, simply open the notebook by running:

 jupyter-notebook deep_learning_exercise.ipynb

Then point your browser to the local notebook server.