Пакет
python_mxnet-1.0.0--python-3.6.3--cuda-9.0.176--cudnn-7.0.3--openblas-0.2.19
Module
Version
Flavor
python-3.6.3--cuda-9.0.176--cudnn-7.0.3--openblas-0.2.19
Other branches
Other flavors
python-2.7.14--cuda-9.0.176--cudnn-7.0.3--openblas-0.2.19, python-3.4.7--cuda-9.0.176--cudnn-7.0.3--openblas-0.2.19, python-3.4.7--openblas-0.2.19, python-3.5.4--openblas-0.2.19, python-3.6.3--cuda-8.0.61--cudnn-6.0.21--openblas-0.2.19, python-2.7.14--cuda-8.0.61--cudnn-7.0.3--openblas-0.2.19, python-3.4.7--cuda-8.0.61--cudnn-7.0.3--openblas-0.2.19, python-3.5.4--cuda-8.0.61--cudnn-7.0.3--openblas-0.2.19, python-2.7.14--openblas-0.2.19, python-3.4.7--cuda-8.0.61--cudnn-6.0.21--openblas-0.2.19
Роль
Конструктор программного окружения для образовательных курсов по машинному обучению и глубокому обучению.
A pre-configured and fully integrated software stack with MXNet, an open-source deep learning framework, and Python 3.6. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack can be easily integrated into continuous integration and deployment workflows. It is designed for short and long-running high-performance tasks and optimized for running on NVidia GPU.
mxnet:1.0.0, python:3.6.3, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.98, opencv:3.3.0, development_preset
