Version
![Cudnn-5 Cudnn](/ic/packages/min/cudnn.png)
cudnn:5.1.10
Module
Version
5.1.10
Flavors
Role
Description
cuDNN, a GPU-accelerated library of primitives for deep neural networks.
Web site
Links
Requires
![machine_learning_education Machine learning education](/ic/constructors/max/machine_learning_education.png)
The runtime environment constructor for the machine learning and deep learning tutorials and courses.
![Course_udacity_nd101_2018_gpu Course udacity](/ic/appliances/max/course_udacity.png)
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_nd009t_2018_python3_cuda8 Course udacity](/ic/appliances/max/course_udacity.png)
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_nd009t_2018_python2_cuda8 Course udacity](/ic/appliances/max/course_udacity.png)
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_6_s094_2017_gpu Course mit](/ic/appliances/max/course_mit.png)
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_2017_2_gpu Course fast ai](/ic/appliances/max/course_fast_ai.png)
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