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

Kinsee Lamb
Delve into the pages of this captivating novel, where the lines between reality and fantasy blur in a mesmerizing tale of magic and adventure. Set in a world where anything is possible, the story follows a group of unlikely heroes as they embark on a quest to save their kingdom from darkness. With its richly imagined world and engaging characters, this book is sure to enchant readers of all ages.

Danet Tucker
Dive into a world of magic and mystery with this enchanting fantasy novel, where mythical creatures and ancient prophecies collide in an epic battle for survival. As darkness descends upon the land, a young hero must rise to fulfill his destiny and save the kingdom from destruction. With its richly imagined world and compelling characters, this book is sure to transport readers to a realm of wonder and adventure.

Sarah Spencer
Explore the depths of human emotion with this powerful collection of poetry, where words dance off the page and into the heart. From love and longing to despair and redemption, each poem offers a glimpse into the human experience in all its complexity. With its evocative imagery and lyrical prose, this book is a testament to the enduring power of poetry to move and inspire.