Public Repository of Machine Learning Nagoya 201802 (MLN_201802) Workshop.

MLN_201802 official Docker Image is available (Reuse of MLN_201711, https://hub.docker.com/r/antimon2/mln201711/ ).
Easy to use with the provided scripts.

$ docker pull antimon2/mln201711

for Linux/macOS:

$ ./docker.run.jupyter.sh

or for Windows:

PS> .\docker.run.jupyter.bat

and then open http://localhost:8888/

Run all of CIFAR10_Train_Validate.ipynb and run Tensorboard as follows (for Linux/macOS:

$ ./docker.run.tensorboard.sh

or for Windows):

PS> .\docker.run.tensorboard.bat

and then open http://localhost:6006/

Run all of CIFAR10_Predict.ipynb and run Tensorboard (if not terminated) as follows (for Linux/macOS:

$ ./docker.run.tensorboard.sh

or for Windows):

PS> .\docker.run.tensorboard.bat

and then open http://localhost:6006/