-
Clone this repository.
git clone https://github.com/Luab/DL_homework.git
-
Move to repository folder.
cd DL_homework
-
Build the container.
docker build . -t mnist
-
Run main.py to to train the model. (You can pass some parameters to model on this stage)
docker run -v "*some path*":"/root/model" -it mnist python main.py --epoch 1
This will create model.nn file, which is pretrained model
-
Put data you want to predict on into your volume folder. Name it test.npy. It shoud match format expected by model
-
Run predict.py to start prediction.
docker run -v "*some path*":"/root/model" -it mnist python predict.py
dl_homework's Introduction
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