IEEE

Topo-Loss: A Novel Loss Function for Learning Multiple Manifold Structures in Image Classification with Deep Neural Networks

Abstract: abstract-The real data distribution of a specific category tends to approach a low-dimensional manifold in the Riemannian space, and the manifolds of different categories do not intersect in ...
IEEE

Loss functions incorporating auditory spatial perception in deep learning – a review

Binaural reproduction aims to deliver immersive spatial audio with high perceptual realism over headphones. Loss functions play a central role in optimizing and evaluating algorithms that generate ...
Hosted on MSN

What Are Activation Functions in Deep Learning? Explained Clearly

Understand what activation functions are and why they’re essential in deep learning! This beginner-friendly explanation covers popular functions like ReLU, Sigmoid, and Tanh—showing how they help ...
eLife

Decoding molecular mechanisms for loss-of-function variants in the human proteome

Proteins play a critical role in cellular function by interacting with other biomolecules; missense variants that cause loss of protein function can lead to a broad spectrum of genetic disorders.
Fox Sports

Report Card: Bryce Underwood’s Learning Curve Steepens in Loss to Oklahoma

Underwood’s counterpart, Sooners’ starter John Mateer, a splashy addition from Washington State via the transfer portal, had begun the game in charge of a beautiful 12-play, 75-yard scoring drive in ...
The New York Times

Learning to Live With Vision Loss

Re “Losing My Vision and Seeing Life Anew,” by Dani Shapiro (Opinion guest essay, Aug. 10): Thank you, Dani Shapiro, for your delightful article on seeing the world in a blurred fashion. I, too, have ...