The core of machine learning is optimization, and the core of optimization is Gradient Descent. This simple yet powerful algorithm is the engine that drives machines to "learn" from data. Whether it's ...

To simultaneously and adaptively update the transmit waveforms and receive filters, we propose a learning-enhanced Riemannian gradient descent (LE-RGD) method, which unfolds the classical Riemannian ...

Homemade neural network-class with a train/backpropagation method.

Abstract: We devise a novel quasi-Newton algorithm for solving unconstrained convex optimization problems. The proposed algorithm is built on our previous framework of the iteratively preconditioned ...

Ben Lomond is always popular. But a descent by Ptarmigan ridge is quiet and adds much to this stunning circular route.

Discover how Zara Dar transitioned from a PhD program to becoming a successful OnlyFans creator, earning over $1 million and ...