Knowledge distillation is an increasingly influential technique in deep learning that involves transferring the knowledge embedded in a large, complex “teacher” network to a smaller, more efficient ...

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 ...

A new paper examines the possible effects of two properties of receiver playing fields documented in studies of animal psychology -- habituation and neural adaptation -- on the efficacy of mate choice ...