The NVIDIA deep learning SDK offers powerful tools and libraries for the development of deep learning frameworks such as Caffe, CNTK, TensorFlow, Theano, and Torch. The NVIDIA deep learning SDK provides powerful tools and libraries for designing and deploying GPU-accelerated deep learning applications. It includes libraries for deep learning primitives, inference, video analytics, linear algebra, sparse matrices, and multi-GPU communications. The current implementation supports the following SDKs:
- Deep learning primitives: (https://developer.nvidia.com/cudnn) High-performance building blocks for deep neural network applications including convolutions, activation functions, and tensor transformations.
- Deep learning inference engine: (https://developer.nvidia.com/tensorrt) High-performance deep learning inference runtime for production deployment.
- Deep learning for video analytics: (https:/...
