malektrabelsi/deep-learning-workshop

https://jcboyd.github.io/assets/deep-learning-workshop/main.html

deep-learning-workshop

Introductory workshop on deep learning "Deep learning on handwritten digits" given at Institut Curie u900 retreat April, 2017. Inspired and adapted from Stanford Vision course cs231n and official TensorFlow tutorial training LeNet on MNIST (https://hub.docker.com/r/tensorflow/tensorflow/).

Docker images (cpu/gpu) available from https://hub.docker.com/r/jcboyd/deep-learning-workshop/.

NVIDIA-docker

Install NVIDIA-docker according to https://github.com/NVIDIA/nvidia-docker

Build

docker build -t --build-arg http_proxy=<http_proxy> --build-arg https_proxy=<https_proxy> jcboyd/deep-learning-workshop:[cpu|gpu] .

Pull

docker pull jcboyd/deep-learning-workshop:[cpu|gpu]

Run

nvidia-docker run -ti -e http_proxy=<http_proxy> -e https_proxy=<https_proxy> -p 8888:8888 deep-learning-workshop:[cpu|gpu]

References

Linear model inspired by https://cs231n.github.io/linear-classify/

Notebook arranged for Slideshow with https://github.com/damianavila/RISE

Optionally install Jupyter themes with https://github.com/dunovank/jupyter-themes