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Docker files based on official TensorFlow ones, except with Python 3 and Keras.
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notebooks
.gitignore
Dockerfile
Dockerfile.gpu
README.md
build
jupyter_notebook_config.py
parameterized_docker_build.sh
run-cpu
run-gpu
run_jupyter.sh
simple_console.py

README.md

Using Keras via Docker

Based on https://github.com/tensorflow/tensorflow/tree/master/tensorflow/tools/docker

Build

Nothing unusual here: docker build -t TAG [-f Dockerfile.gpu]

Usage

Once built (you have to do this yourself for now), run the commands in run-cpu or run-gpu (with your modifications, if needed). Both are configured so that you can pass an absolute path to a directory for jupyter notebooks: run-cpu PATH

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