Module
machine_learning-oneclickstack
Ruolo
Descrizione
A fully configured runtime environment installation: features of professional web hosting services or “platform as a service” PaaS (web server, database, programming languages and libraries).
A pre-configured and fully integrated software stack with TensorFlow, an open source software library for machine learning, and the Python programming language. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack is designed for short and long-running high-performance tasks, and can be easily integrated into continuous integration and deployment workflows. It is built with the Intel MKL and MKL-DNN libraries and optimized for running on CPU.
tensorflow:1.8.0, python:3.6.3, development_preset:1
A pre-configured and fully integrated software stack with TensorFlow, an open source software library for machine learning, and the Python programming language. It provides a stable and tested execution environment for training, inference, or running as an API service. The stack is designed for short and long-running high-performance tasks, and can be easily integrated into continuous integration and deployment workflows. It is built with the Intel MKL and MKL-DNN libraries and optimized for running on CPU.
tensorflow:1.8.0, python:2.7.14, development_preset:1
tensorflow:1.8.0, keras:2.1.2, python:3.6.3, jupyter_notebook:1.0.0, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:396.24, opencv:3.4.1, development_preset:1
A pre-configured and fully integrated software stack with PyTorch, an open source software library for machine learning, and the Python programming language. The stack is designed for short and long-running high-performance tasks and is optimized for running on NVidia GPU.
pytorch:0.4.0, python:3.6.3, cuda:9.1.85.3, cudnn:7.1.3, cuda_only-nvidia_drivers:396.24, development_preset:1
A pre-configured and fully integrated software stack with PyTorch, an open source software library for machine learning, and the Python programming language. The stack is designed for short and long-running high-performance tasks and is optimized for running on NVidia GPU.
pytorch:0.4.0, python:2.7.14, cuda:9.1.85.3, cudnn:7.1.3, cuda_only-nvidia_drivers:396.24, development_preset:1
