This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...

An intelligent inversion framework for soil parameters in deep excavations is established by using BIM technology, finite difference method (FDM), and nondominated sorting genetic algorithm II ...

In the field of medical imaging, particularly obstetric ultrasound, deep learning models have achieved high accuracy in ...

Discover how deep learning–based de-noising enhances X-ray inspection—producing clearer images and reducing false results.

A fully automated deep learning workflow for echocardiography in pulmonary arterial hypertension (PAH) is accurate and feasible.

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly accessible ...