This was a presentation about usability, not so much APIs.
Tools, utilities and apps were recommended and provided.
https://gitlab.com/remastersys/dx-os/-/blob/master/presentation/26a.mp4?ref_type=heads
In this article, I offer information about floating point representations in more detail, and answer questions such as which precision are compatible with different hardware. https://www.intel.com/content/www/us/en/developer/articles/technical/should-i-choose-fp16-or-fp32-for-my-deep-learning-model.html
Joined this group in 2014. https://www.w3.org/community/webid/participants
I created a set of images for raspberry pi and desktop with tools/apps/utils and configurations for using deep learning. The image included demos and get started materials for anyone interested in Deep or Machine Learning. The demos include Yolov3, Tensorflow and pre-trained models and a model downloading tool.
In this article, I demonstrate how to tweak the Deep Learning Developer Kit to work on raspberry pi 3 and use the optimizer and downloader. This was not supported by Intel, but I was able to get this working and the instructions are found on the site. However, the content system was changed so the…
In 2016, I was given a beaglebone black from cfengine to write up instructions to use with Yocto. Originally, they hired me to do this on pi. Promised more work but this was a write up for a conference and was not transparent. The idea was to teach at the 8th grade level. However, as…
