Nvidia Opens Up The “Black Box” of Its Robocar’s Deep Neural Network

Images: NVIDIA
The features marked in green form high-priority focus points for the deep neural network.

A deep neural network’s ability to teach itself is a strength, because the machine gets better with experience, and a weakness, because it’s got no code that an engineer can tweak. It’s a black box.

That’s why the creators of Google Deep Mind’s AlphaGo couldn’t explain how it played the game of Go. All they could do was watch their brainchild rise from beginner status to defeat one of the best players in the world. 

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Read the rest of “Nvidia Opens Up The “Black Box” of Its Robocar’s Deep Neural Network” from the original source: IEEE Spectrum Cars That Think.