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 ...

The gFTP algorithm constructs binary recurrent neural networks with user-defined dynamics by adjusting non-realizable graphs and solving linear problems. This innovative approach enhances the ...