In many ways, deep learning is that simple. In the case of identifying a particular object, an image recognition neural network would break down and look at different features such as the shape ...

As a fun project I thought I’d put Google’s Inception-v3 neural network on a Raspberry Pi to see how well it does at recognizing objects first hand. It turned out to be not only fun to … ...

Researchers at Auburn University trained a neural network to fool Google's best image-recognition system, Inception, by rotating objects in space to novel positions. The lesson is that today's AI ...

Furthermore, the laws of physics are usually symmetrical when rotated or translated, which simplifies approximating the process of object recognition. Neural networks tap into another property of ...

Some of the most visible of those, like autonomous vehicles, rely heavily on object recognition, which almost universally means neural networks trained on commonly found objects.

Google says the performance of each neural net differs from task to task, but overall, its networks either meet or approach recent state-of-the-art standards.