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Key Highlights
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An Introduction To A Broad Range Of Topics In Deep Learning, Covering Mathematical And Conceptual Background, Deep Learning Techniques Used In Industry, And Research Perspectives. “Written By Three Experts In The Field, Deep Learning Is The Only Comprehensive Book On The Subject.” —Elon Musk, Cochair Of OpenAI; Cofounder And CEO Of Tesla And SpaceX Deep Learning Is A Form Of Machine Learning That Enables Computers To Learn From Experience And Understand The World In Terms Of A Hierarchy Of Concepts. Because The Computer Gathers Knowledge From Experience, There Is No Need For A Human Computer Operator To Formally Specify All The Knowledge That The Computer Needs. The Hierarchy Of Concepts Allows The Computer To Learn Complicated Concepts By Building Them Out Of Simpler Ones; A Graph Of These Hierarchies Would Be Many Layers Deep. This Book Introduces A Broad Range Of Topics In Deep Learning. The Text Offers Mathematical And Conceptual Background, Covering Relevant Concepts In Linear Algebra, Probability Theory And Information Theory, Numerical Computation, And Machine Learning. It Describes Deep Learning Techniques Used By Practitioners In Industry, Including Deep Feedforward Networks, Regularization, Optimization Algorithms, Convolutional Networks, Sequence Modeling, And Practical Methodology; And It Surveys Such Applications As Natural Language Processing, Speech Recognition, Computer Vision, Online Recommendation Systems, Bioinformatics, And Videogames. Finally, The Book Offers Research Perspectives, Covering Such Theoretical Topics As Linear Factor Models, Autoencoders, Representation Learning, Structured Probabilistic Models, Monte Carlo Methods, The Partition Function, Approximate Inference, And Deep Generative Models. Deep Learning Can Be Used By Undergraduate Or Graduate Students Planning Careers In Either Industry Or Research, And By Software Engineers Who Want To Begin Using Deep Learning In Their Products Or Platforms. A Website Offers Supplementary Material For Both Readers And Instructors.
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Product highlights
Title
Introduction to Algorithms, fourth edition
Imprint
MIT Press
Product Form
Hardcover
Publisher
MIT Press Ltd
Genre
Computers
ISBN13
9780262046305
Book Category
Higher Education and Professional Books
BISAC Subject Heading
COM051300
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4.4
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5
Classy product
3 years ago
Book is really good and the quality of this is very good.
Pavan T S
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5
Terrific purchase
3 years ago
This is the best book on algorithms.
Sai Charan Marrivada
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3
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5
Perfect product!
3 years ago
Good quality - paper and printing.
Prasant Samal
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Worst experience ever!
7 months ago
Fonts are too small to read and book contents and pages are misma...
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4
Book is excellent, the service isn't.
1 year ago
The book content as as expected - amazing! The binding could have...
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5
Super!
2 years ago
Good quality page. Hard binding
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5
Worth every penny
2 years ago
Nice quality, really good
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