Package
Cudnn
cudnn-5.1.10--cuda-8.0.61
Module
Version
Flavor
cuda-8.0.61
Other branches
Role
Description

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

Machine learning education

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

Course udacity
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
Course udacity
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
Course udacity
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
Course mit
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
Course fast ai
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