Deep Learning libraries Docker Image
This is a complete environment for building deep learning applications. It has the latest stable versions of the most common tools and frameworks that you're likely to need.
- Ubuntu 16.04 LTS
- Python 3.5.2
- Tensorflow > 1
- OpenCV 3.2
- Numpy, Scipy, Scikit Learn, Scikit Image, Pandas, Matplotlib, Pillow
Running the Docker Image
If you haven't yet, start by installing Docker. It should take a few minutes. Then run this command at your terminal:
docker run -it -p 8888:8888 -p 6006:6006 -v $(pwd):/code akkefa/docker-deep-learning-libraries
Note the -v option. It maps your user directory ($(pwd)) to /code in the container. Change it if needed. The two -p options expose the ports used by Jupyter Notebook and Tensorboard respectively.
Running the ipython[notebook]
jupyter notebook --ip=0.0.0.0 --port=8888 --allow-root