Abstract: The estimation of nested functions (i.e., functions of functions) is one of the central reasons for the success and popularity of machine learning. Today, artificial neural networks are the ...

This video presents a creative trio by: a stylized letter P with retro line design, two smooth red-to-black gradient studies, and a portrait sketch featuring a diagonal color strip revealing shading ...

Building on two centuries' experience, Taylor & Francis has grown rapidly over the last two decades to become a leading international academic publisher. The Group publishes over 800 journals and over ...

objective / gradient / hessian are only used in few places now, I think they can be removed entirely and the fallback for evaluate! can be defined accordingly.

Biometrika is primarily a journal of statistics in which emphasis is placed on papers containing original theoretical contributions of direct or potential value in applications. From time to time, ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Researchers from the University of Maine and Penn State discovered that molecules experience non-reciprocal interactions without external forces. Fundamental forces such as gravity and ...

Finite Difference Gradient Descent (FDGD) is a modification of the regular GD algorithm that approximates the gradient of the objective function with finite difference derivatives, as $$ -\nabla f(v) ...