Название: Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
Автор: James V. Stone
Издательство: Sebtel Press
Год: 2020
Страниц: 216
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB
The brain has always had a fundamental advantage over conventional computers: it can learn. However, a new generation of Artificial Intelligence (AI) algorithms, in the form of deep neural networks, is rapidly eliminating that advantage. Deep neural networks (DNN) rely on adaptive algorithms to master a wide variety of tasks, including cancer diagnosis, object recognition, speech recognition, robotic control, chess, poker, backgammon and Go, at super-human levels of performance. Unlike most books on Deep Learning, this is not a 'user manual' for any particular software package. Such books often place high demands on the novice, who has to learn the conceptual infrastructure of neural network algorithms, whilst simultaneously learning the minutiae of how to operate an unfamiliar software package. Instead, this book concentrates on key concepts and algorithms.