Understanding the Data The complete MNIST dataset consists of 60,000 images for training and 10,000 images for testing. The training set is contained in two files, one that contains all the pixel ...

Image classification algorithms are notoriously error-prone, but a novel method for spotting errors within incomprehensible AI code could help solve the problem.

Pixel-level classification is another important advantage of Morpheus, Robertson said. "With other models, you have to know something is there and feed the model an image, and it classifies the ...