When your car can distinguish between a traffic sign and a pedestrian, your photo-sharing app can suggest tags based on who is in the image, and your company’s surveillance system can pinpoint footage of an intruder, it’s a good bet that convolutional neural network (CNN) algorithms are running in the background.
networks and also to address unique requirements for integrating neural networks into embedded applications. These efforts should pave the wave for CNNs to be a foundation for even more intelligent electronic products.
About the author:
Samer Hijazi is Engineering Director at Cadence Design Systems.
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