Neural networks ‘disentangled’ for computer vision without the black box
Researchers from Duke University have trained a deep neural network to share its understanding of concepts, shedding light on how it processes visual information. Deep neural networks are loosely modelled on real brains, with layers of interconnected “neurons” which respond to features in the input data. For image recognition, input data is processed by the … Read more