Download Artificial Intelligence Engines: A Tutorial PDF Free ePUB

Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning image

Overview

Review

Comments

Download PDF

"authoritative, funny, and concise" Steven Strogatz, Professor of Applied Mathematics, Cornell University. The brain has always had a fundamental advantage over conventional computers: it can learn. However, a new generation of artificial intelligence algorithms, in the form of deep neural networks, is rapidly eliminating that advantage. Deep neural networks 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. In this richly illustrated book, key neural network learning algorithms are explained informally first, followed by detailed mathematical analyses. Topics include both historically important neural networks (perceptrons, Hopfield nets, Boltzmann machines and backpropagation networks), and modern deep neural networks (variational autoencoders, convolutional networks, generative adversarial networks, and reinforcement learning using SARSA and Q-learning). Online computer programs, collated from open source repositories, give hands-on experience of neural networks, and PowerPoint slides provide support for teaching. Written in an informal style, with a comprehensive glossary, tutorial appendices (e.g. Bayes' theorem, maximum likelihood estimation), and a list of further readings, this is an ideal introduction to the algorithmic engines of modern artificial intelligence. Dr James V Stone is an Honorary Associate Professor at the University of Sheffield, England.

Details e-book Artificial Intelligence Engines

🗸 Author(s): James V Stone
🗸 Title: Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
🗸 Rating : 4.4 from 5 stars (51 reviews)
🗸 Languange: English
🗸 Format ebook: PDF, EPUB, Kindle, Audio, HTML and MOBI
🗸 Supported Devices: Android, iOS, PC and Amazon Kindle

Readers' opinions about Artificial Intelligence Engines by James V Stone

Adawna Hayes
This thought-provoking work of non-fiction explores the mysteries of the human mind, delving into the complexities of consciousness and perception. Drawing on the latest scientific research, the author sheds light on the inner workings of the brain, offering fascinating insights into what makes us who we are. Engaging and accessible, this book is a must-read for anyone interested in the workings of the human mind.

Chelese Thomson
Explore the wonders of the natural world with this captivating exploration of wildlife and ecosystems. From the depths of the ocean to the heights of the mountains, the author takes readers on a journey through some of the planet's most extraordinary habitats. With its stunning photography and fascinating insights, this book is a feast for the eyes and the mind.

Blysse Bond
This captivating novel weaves together history and romance in a sweeping saga of love and loss set against the backdrop of war-torn Europe. As the world is torn apart by conflict, the lives of the protagonists are forever changed by the tumultuous events of the time. With its vivid imagery and poignant storytelling, this book is a moving tribute to the resilience of the human spirit.