Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of updating the weight parameters after assessing the entire dataset, Mini ...

Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back ...

How is AI different from a neural net? How can a machine learn? What is AGI? And will DeepSeek really change the game? Read on to find out.

P. Deift, X. Zhou, A Steepest Descent Method for Oscillatory Riemann–Hilbert Problems. Asymptotics for the MKdV Equation, Annals of Mathematics, Vol. 137, No. 2 ...