Case Study – Using the Intel® Deep Learning SDK for Training Image Recognition Models

In this case study, we explore LeNet*,one of the prominent image recognition topologies for handwritten digit recognition, and show how the training tool can be used to visually set up, tune, and train the Mixed National Institute of Standards and Technology (MNIST) dataset on Caffe* optimized for Intel® architecture. Data scientists are the intended audience.
Autor Meghana Rao (Intel) Última actualización 24/01/2018 - 15:35

Get Started with the Intel® Deep Learning SDK

This video shows the Intel® Deep Learning SDK.

Autor Gerald M. (Intel) Última actualización 24/01/2018 - 15:35
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Invasive Water Hyacinth Monitoring on Lake Victoria

Autor admin Última actualización 12/09/2018 - 11:25

ASTRO - The Robot solution for a Safer and more Productive Workplace

1. Robots and ASTRO
Autor Silviu-Tudor Serban Última actualización 09/12/2019 - 12:20