Libros de Otros lenguajes, página 3 de 187

A foundational text on scientific computing using FORTRAN, covering algorithms and code.

An authoritative accessible and up to date treatment of deep learning that strikes a pragmatic middle ground between theory and practice Deep learning is a fast moving field with sweeping relevance in today s increasingly digital world Understanding Deep Learning provides an authoritative accessible and up to date treatment of the subject covering all the key topics along with recent advances and cutting edge concepts Many deep learning texts are crowded with technical details that obscure fundamentals but Simon Prince ruthlessly curates only the most important ideas to provide a high density of critical information in an intuitive and digestible form From machine learning basics to advanced models each concept is presented in lay terms and then detailed precisely in mathematical form and illustrated visually The result is a lucid self contained textbook suitable for anyone with a basic background in applied mathematics Up to date treatment of deep learning covers cutting edge topics not found in existing texts such as transformers and diffusion models Short focused chapters progress in complexity easing students into difficult concepts Pragmatic approach straddling theory and practice gives readers the level of detail required to implement naive versi