Artificial Intelligence Engines: A Tutorial Introduction to the Mathematics of Deep Learning
by: James V Stone
Publisher finelybook 出版社: Sebtel Press (April 1,2019)
Language 语言: English
Print Length 页数: 218 pages
ISBN-10: 0956372821
ISBN-13: 9780956372826
Book Description
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 (e.g. perceptrons),and modern deep neural networks (e.g. generative adversarial networks). 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),and a list of further readings,this is an ideal introduction to the algorithmic engines of modern artificial intelligence.
Artificial Intelligence Engines 9780956372826.pdf:
https://finelybook.com/fs/15081096-484767043-28dc9d
