JetsonHacks

Developing on NVIDIA® Jetson™ for AI on the Edge

Category: Deep Learning

TensorFlow on NVIDIA Jetson TX1 Development Kit

December 30, 2016
36 Comments

Building TensorFlow on the NVIDIA Jetson TX1 is a little more complicated than some of the installations we have done in the past. Looky here: Background TensorFlow is one of the […]

Caffe Deep Learning Framework – 64-bit NVIDIA Jetson TX1

September 18, 2016
14 Comments

Back in February, we installed Caffe on the TX1. At the time, the TX1 was running a 32-bit version of L4T 23.1. With the advent of the 64-bit L4T 24.2, […]

Caffe Deep Learning Framework with cuDNN Support – NVIDIA Jetson TX1

February 22, 2016
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Image recognition in about 10ms on a Jetson TX1! In an earlier article on running Caffe on the Jetson TX1 we stated that when cuDNN library version 4 support was […]

Caffe Deep Learning Framework – NVIDIA Jetson TX1

December 7, 2015
20 Comments

Note: This article has been updated to use Caffe with cuDNN. cuDNN is a NVIDIA provided GPU-accelerated library for deep neural networks which can more than double performance. For 64-bit […]

iTorch for Torch 7 on NVIDIA Jetson TK1

May 20, 2015
3 Comments

iTorch is an IPython Kernel for Torch from Facebook with plotting (using Bokeh.js plots) and visualization of images, video and audio. This video shows you how to install iTorch on […]

Torch 7 Scientific Computer Framework with cuDNN – NVIDIA Jetson TK1

May 20, 2015
15 Comments

The Torch scientific computing framework is an easy to use and efficient platform with wide support for machine learning algorithms. The underlying C/CUDA implementation is accessed through a fast scripting […]

Distributed Simulation of Spiking Neural Networks

May 14, 2015
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Here’s an interesting paper: Power, Energy and Speed of Embedded and Server Multi-Cores applied to Distributed Simulation of Spiking Neural Networks: ARM in NVIDIA Tegra vs Intel Xeon quad-cores by […]

Research Paper: An Empirical Evaluation of Deep Learning on Highway Driving

April 8, 2015
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The research paper An Empirical Evaluation of Deep Learning on Highway Driving was recently published by researchers from Stanford University, Twitter, Texas Instruments and Baidu. One of the authors is […]

RGBD Occlusion Detection via Deep Convolutional Neural Networks Talk – GTC 2015

March 28, 2015
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Deep learning was the theme of GTC 2015, and an idea being explored is “RGBD Occlusion Detection via Deep Convolutional Neural Networks” by a group of researchers at United Technologies […]

Sirius: Open End-to-End Voice and Vision Intelligent Personal Assistant

March 13, 2015
One Comment

Clarity Lab over at the University of Michigan published a really interesting paper: Sirius: An Open End-to-End Voice and Vision Personal Assistant and Its Implications for Future Warehouse Scale Computers. […]

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