Deep Learning Challenges in Embedded Platforms

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in Blogs
13 October 2016

The successful spread of artificial intelligence (AI) into everyday applications will be dependent on how easy it is to deploy deep neural networks in small, low-power devices rather than large server networks

In this post we look at ways to deal with those challenges.

Googlenet deep convolutional neural network

In 2014, Google made an entry to the ImageNet large-scale visual recognition challenge (ILSVRC), titled GoogLeNet. It is an interesting case study because it is a 22-layer deep convolutional network, and includes nine inceptions, creating a very rich and complex topology.

Read the full blog here

Liran Bar

Director of Product Marketing, CEVA, Imaging & Vision DSP core product line.