JetsonHacks

Developing on NVIDIA® Jetson™ for AI on the Edge

Category: Deep Learning

Deep Learning
Microsoft Research just published a paper on using FPGAs to accelerate machine learning: Accelerating Deep Convolutional Neural Networks Using Specialized Hardware. This is an interesting alternative to using GPUs for […]
NVIDIA’s cuDNN is a GPU-accelelerated library of primitives for deep neural networks, which is designed to be integrated into higher-level machine learning frameworks, such as UC Berkeley’s Caffe deep learning […]
Back in October 2014, Google’s Pete Warden wrote an interesting article: How to run the Caffe deep learning vision library on Nvidia’s Jetson mobile GPU board. At the time, I […]
Facebook AI Research (FAIR) has open sourced Deep Learning CUDA extensions. The extensions are for Torch, a scientific computing framework with wide support for machine learning algorithms. In the Facebook […]

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