> Neural networks (NNs), recently referred to as deep learning, only work "effectively" with data that is produced from a process of a continuous function. I t

> Neural networks (NNs), recently referred to as deep learning, only work "effectively" with data that is produced from a process of a continuous function. I think the author is overlooking the fact that images are not continuous functions but Deep-Learning image-recognition systems have been very successful representing discontinuities in images as hierarchical visual abstractions. In the same way, Deep Learning with recurrent neural networks should be able to learn discontinuities in symbol streams as hierarchical language abstractions, given enough data.