Package
cudnn-7.0.5--cuda-9.1.85
Module
Version
Flavor
cuda-9.1.85
Other flavors
Role
Description
cuDNN, a GPU-accelerated library of primitives for deep neural networks.
Web site
Links
Requires
The runtime environment constructor for the machine learning and deep learning tutorials and courses.
A pre-configured and fully integrated minimal runtime environment with TensorFlow, an open source software library for machine learning, Keras, an open source neural network library, Jupyter Notebook, a browser-based interactive notebook for programming, mathematics, and data science, and the Python programming language. The stack is optimized for running on NVidia GPU.
tensorflow:1.6.0, keras:2.1.2, python:3.6.3, jupyter_notebook:1.0.0, cuda:9.1.85.3, cudnn:7.0.5, cuda_only-nvidia_drivers:390.25, development_preset:1
A pre-configured and fully integrated minimal runtime environment with TensorFlow, an open source software library for machine learning, Keras, an open source neural network library, Jupyter Notebook, a browser-based interactive notebook for programming, mathematics, and data science, and the Python programming language. The stack is optimized for running on NVidia GPU.
tensorflow:1.6.0, keras:2.1.2, python:2.7.14, jupyter_notebook:1.0.0, cuda:9.1.85.3, cudnn:7.0.5, cuda_only-nvidia_drivers:390.25, 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 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.
tensorflow:1.6.0, python:2.7.14, cuda:9.1.85.1, cudnn:7.0.5, cuda_only-nvidia_drivers:390.25, 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 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.
tensorflow:1.6.0, python:3.6.3, cuda:9.1.85.1, cudnn:7.0.5, cuda_only-nvidia_drivers:390.25, 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 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.
tensorflow:1.5.0, python:3.6.3, cuda:9.1.85.1, cudnn:7.0.5, cuda_only-nvidia_drivers:390.25, development_preset:1