How do neural networks see depth? ZDNet

The next wave of IT innovation will be powered by artificial intelligence and machine learning. We look at the ways companies can take advantage of it and how to get started. One of the continuing problems with Deep Neural Networks (DNNs) is that humans typically do not understand how they achieve their amazing results. DNN models are trained on massive amounts of data until they surpass human accuracy, but the details of the models themselves are hidden inside thousands of equations. If there is implicit bias - or other flaws - in the training data, those problems will be encoded in the model, with humans none the wiser.