The ability to generalize existing knowledge to novel stimuli or situations is essential to complex, rapid, and accurate behavior. As an example, when shopping for produce, humans make many different ...

We study deep neural networks and their use in semiparametric inference. We establish novel rates of convergence for deep feedforward neural nets. Our new rates are sufficiently fast (in some cases ...

The BSLO is motivated by the prey-grabbing habits of blood-sucking leeches in rice paddies and emulates the exploration, exploitation, switching mechanism of directional leeches, recherche mechanism ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...