Category: Article
- February 25, 2015
- 11 Comments
After flashing a Jetson with stock LT4 21.2 (See Jetpack Installation), there are some setup tweaks that make the system more suitable for desktop use. Looky here: Note: The video […]
- February 24, 2015
- No Comments
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 […]
- February 23, 2015
- 2 Comments
Update On April 2nd, Microsoft announced that they are consolidating the Kinect for Windows around a single sensor. They will discontinue “Kinect for Windows V2” described below. However the replacement […]
- February 18, 2015
- 2 Comments
A great article over at the NVIDIA Parallel FORALL blog: BIDMach: Machine Learning at the Limit with GPUs by John Canny over at Berkeley. Introduction: Deep learning has made enormous […]
- February 10, 2015
- No Comments
Ian King over at Dark Sol Workshop designed and built an enclosure for the Jetson: Go over and check it out on their blog: Dark Sol Workshop: Jetson TK1 Dev […]
- February 7, 2015
- 10 Comments
The Jetson TK1 has a SD Card reader. Most Secure Digital (SD) cards come from the factory formatted as ExFat which is the most common format for Windows machines and […]
- January 29, 2015
- 3 Comments
Several years ago, the Sony PlayStation 3 Eye webcam was the staple of DIY Computer Vision projects. I happened to have several of them lying about from past projects. Here’s […]
- January 20, 2015
- 34 Comments
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 […]
- January 17, 2015
- 7 Comments
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 […]
- January 16, 2015
- No Comments
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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