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: In this paper, loss minimization control method (LMC) based on gradient descent algorithms (GDA) is aimed at enhancing the efficiency of permanent magnet synchronous machines (PMSMs) in high ...

Admittedly, I've bitten off a lot with my Java neuralnetwork package. Just to make sure I'm completely solid on gradient descent before diving into backprop, I wanted to make sure I could code the ...

Regulating the power output for a power plant as demand for electricity fluctuates throughout the day is important for both economic purpose and the safety of the generator. In this work, gradient ...

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

There’s death by a thousand paper cuts, and then there’s being bled dry. The Yankees found themselves suffering from the former Friday night as manager Aaron Boone plumbed the depths of his bullpen ...

@InProceedings{Sutton+MPBSSW:2009, author = "Sutton, Richard S. and Maei, Hamid Reza and Precup, Doina and Bhatnagar, Shalabh and Silver, David and Szepesv{\'a}ri, Csaba and Wiewiora, Eric", title = ...