Jetware - package: cuDNN

Package

cudnn-5.1.10--cuda-8.0.61

Module

cudnn

Version

5.1.10

Flavor

cuda-8.0.61

Other branches

7.2.1, 7.1.3, 6.0.21

Ruolo

cudnn

Descrizione

cuDNN, a GPU-accelerated library of primitives for deep neural networks.

Sito web

https://developer.nvidia.com/cudnn

Links

NVidia CUDA module

Requires

libc, gcc-libstdcxx, gcc-libgcc_s, environ

Costruttori (1)

Machine Learning Education

The runtime environment constructor for the machine learning and deep learning tutorials and courses.

Appliances (7)

aise / Udacity Deep Learning Nanodegree Foundation program (nd101), NVidia GPU

The pre-configured and ready-to-use runtime environment for the Udacity's Deep Learning Nanodegree Foundation program (nd101). It includes Python 3.5, TensorFlow 1.0.0 and tflearn 0.30. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.

udacity-nd101-course:2018, cuda:8.0.61, cudnn:5.1.10, cuda_only-nvidia_drivers:384.111

aise / Udacity Machine Learning Engineer Nanodegree program (nd009t), Python 3 NVidia GPU

The pre-configured and ready-to-use runtime environment for the Udacity's Machine Learning Engineer Nanodegree program (nd009t). It includes Python 3.5, TensorFlow 1.0.0 and Keras 2.0.2. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.

udacity-nd009t-course:2018, python:3.5.4, cuda:8.0.61, cudnn:5.1.10, cuda_only-nvidia_drivers:384.111

aise / Udacity Machine Learning Engineer Nanodegree program (nd009t), Python 2 NVidia GPU

The pre-configured and ready-to-use runtime environment for the Udacity's Machine Learning Engineer Nanodegree program (nd009t). It includes Python 2.7, TensorFlow 1.0.0 and Keras 2.0.2. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.

udacity-nd009t-course:2018, python:2.7.14, cuda:8.0.61, cudnn:5.1.10, cuda_only-nvidia_drivers:384.111

aise / Machine Learning / Education / MIT 6.S094 course: Deep Learning for Self-Driving Cars 2017 / NVidia GPU

The pre-configured and ready-to-use runtime environment for the MIT 6.S094 course: Deep Learning for Self-Driving Cars, 2017. It includes Python 2.7, TensorFlow 0.12.1 and OpenCV 3.3.0. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.

mit-mit_6_s094-course:2017, cuda:8.0.61, cudnn:5.1.10, cuda_only-nvidia_drivers:384.111

aise / Fast.ai Practical Deep Learning for Coders 2017 part 2 NVidia GPU

The pre-configured and ready-to-use runtime environment for the Fast.ai's courses Practical Deep Learning for Coders, 2017 edition, part 2. It includes Python 2.7, Theano 0.8, TensorFlow 1.0 and Keras 1.1. The stack also includes CUDA and cuDNN, and is optimized for running on NVidia GPU.

fast_ai-course:2017-2, cuda:8.0.61, cudnn:5.1.10, cuda_only-nvidia_drivers:384.111