Ubuntu Core 16.04 + CUDA 9.0 + Python 3.5 + Tensorflow 1.8.0 + OpenCV 3.4.1 + Keras
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Ubuntu Core 16.04 + CUDA 9.0 + Python 3.5 + Tensorflow 1.8.0 + OpenCV 3.4.1 + Keras
Use nvidia-docker: nvidia-docker run -it ubcrcl/tf-cv-keras
To access port 50051, add option: -p 50051:50051
To mount your home directory inside the container, add option: --volume=$HOME:/workspace
Content type
Image
Digest
sha256:9264e3949…
Size
1.6 GB
Last updated
about 4 years ago
docker pull ubcrcl/tf-cv-keras:tf2.3.1-gpu