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Keras-1.2-MXNet

Using this dockerfile you can build the image from scratch yourself, alternatively you can also find a pre-built image from my docker repository here

Build the image

If you want to build the image then copy the dockerfile to a directory of choice, open a powershell there and execute:

docker build . -t [name:tag] So for example: docker build . -t [Keras-mxnet:latest]

Run image and use jupyter notebooks

Open a powershell and apply the following steps:

  1. Make sure Docker is installed, running and that your drive is shared in docker settings.
  2. Navigate to your project working space
  3. docker run -it -v ${PWD}:/tmp/working -w=/tmp/working -p 8888:8888 --rm [image name] jupyter notebook --ip="*" --notebook-dir=/tmp/working --allow-root You can find the image name with the command: docker images

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Docker environment for deep learning development with keras 1.2 using MXNet as backend

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