Module
Cudnn
cudnn
Branches
Role
Description

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

Machine learning education
The pre-configured and ready-to-use runtime environment for the CS231n course - Convolutional Neural Networks for Visual Recognition, Stanford University, Spring 2017. It includes latest versions of Python 3, TensorFlow, PyTorch, CUDA, and cuDNN. The software stack is optimized for running on NVIdia GPU.
stanford-cs231n-course:1617spring, tensorflow:1.4.0, pytorch:0.3.0, keras:2.1.2, python:3.6.3, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.98
Machine learning education
The pre-configured and ready-to-use runtime environment for the CS231n course - Convolutional Neural Networks for Visual Recognition, Stanford University, Spring 2017. It includes latest versions of Python 2, TensorFlow, PyTorch, CUDA, and cuDNN. The software stack is optimized for running on NVIdia GPU.
stanford-cs231n-course:1617spring, tensorflow:1.4.0, pytorch:0.3.0, keras:2.1.2, python:2.7.14, cuda:9.0.176, cudnn:7.0.5, cuda_only-nvidia_drivers:384.98
Machine learning education
The pre-configured and ready-to-use runtime environment for the CS231n course - Convolutional Neural Networks for Visual Recognition, Stanford University, Spring 2017. It includes original (old) versions of Python, TensorFlow, PyTorch, CUDA, and cuDNN, used in the course. The software stack is optimized for running on NVIdia GPU.
stanford-cs231n-course:1617spring, tensorflow:1.0.1, pytorch:0.1.11, keras:2.1.2, python:3.5.4, cuda:8.0.61, cudnn:5.1.10, cuda_only-nvidia_drivers:384.98