Abstract: Conventional loss functions for gradient descent are designed mainly to assess output quality, with limited attention to gradient behavior. This study identifies the gradient inconsistency ...

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple. LDS Church's presidency reveal sparks "hilarious" ...

The Arizona Diamondbacks came out of the Trade Deadline battered and decimated by departures. One of those departures was felt sorely on Friday as the D-backs lost 5-1 to the Athletics in Sacramento.

In patients with lupus nephritis, histology and baseline kidney function predict eGFR decline. In patients with lupus nephritis (LN), low baseline estimated glomerular filtration rate (eGFR) and ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single numeric value. The demo uses stochastic gradient descent, one of two ...

While humans can regularly replace certain cells, like those in our blood and gut, we cannot naturally regrow most other parts of the body. For example, when the tiny sensory hair cells in our inner ...

Researchers have developed a gene therapy that significantly slowed motor function loss in preclinical models of amyotrophic lateral sclerosis (ALS), offering new hope for treating the devastating ...