Article

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.
作者: Meghana Rao (Intel) 最后更新时间: 2018/01/24 - 15:35
Article

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

1. Robots and ASTRO
作者: Silviu-Tudor Serban 最后更新时间: 2019/12/09 - 12:20