For instance, the researchers used their framework to combine elements of two different algorithms to create a new image-classification algorithm that performed 8% better than current state-of-the ...

In the next section, I’ll briefly survey the different kinds ... and explain how those algorithms relate to the creation of models for prediction, classification, image processing, language ...

For instance, the researchers used their framework to combine elements of two different algorithms to create a new image-classification algorithm that performed 8 percent better than current state ...

Presented with hundreds of these images, humans labeled them based on their shape — cat, bear, airplane — almost every time, as expected. Four different classification algorithms, however, leaned the ...

Early testing of updated algorithms in a few countries ... a neural network trained on thousands of images of a range of different body types, labeled by staff. The final system essentially ...