Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code. Most ...

Journal of Coastal Research, SPECIAL ISSUE NO. 103. Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering (SUMMER 2020), pp. 839-842 (4 pages) In order to improve the ...

Abstract. We prove gradient estimates for harmonic functions with respect to a d-dimensional unimodal pure-jump Lévy process under some mild assumptions on the density of its Lévy measure. These ...

Genes located in chromosomal regions near telomeres are transcriptionally silent, whereas those located in regions away from telomeres are not. Here we show that there is a gradient of acetylation of ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...

All straight line graphs have an equation that can be written in the form 𝑦 equals 𝑚𝑥 add 𝑐, where 𝑚, the coefficient of the 𝑥 term, is the gradient or slope of the line. The constant, 𝑐, is ...

See "Nonlinear Optimization and Related Subroutines" for a listing of all NLP subroutines. See Chapter 11, "Nonlinear Optimization Examples," for a description of the inputs to and outputs of all NLP ...