Toon tells us there is actually nothing about this that involved extensive software work necessarily—it is rather a function of taking a graph approach to the deep neural network problem. “Learning is ...

One-way propagation, a mechanism that sharpens feature alignment between query and data graphs. Shared-graph convolution, a new convolution method using sigmoid functions to refine feature extraction.

The master plan for neural networks is to create ever-larger networks that loop into one another, learning and improving. These must be recurrent—not just in the RNN way, but recurrent over many ...