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

Get Started with the Intel® Deep Learning SDK

This video shows the Intel® Deep Learning SDK.

作者: Gerald M. (Intel) 最后更新时间: 2018/01/24 - 15:35
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Invasive Water Hyacinth Monitoring on Lake Victoria

作者: 管理 最后更新时间: 2018/09/12 - 11:25