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Deep Learning (Adaptive Computation and Machine Learning series) (Hardcover)

by Ian Goodfellow

Total: TK. 11,245

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Deep Learning (Adaptive Computation and Machine Learning series)

Edition, 2017

Deep Learning (Adaptive Computation and Machine Learning series) (Hardcover)

5 Ratings  |  No Review
TK. 11,245

বইটি বিদেশি প্রকাশনী বা সাপ্লাইয়ারের নিকট থেকে সংগ্রহ করে আনতে আমাদের ৩০ থেকে ৪০ কর্মদিবস সময় লেগে যেতে পারে।

Book Length


775 Pages





The MIT Press (India)





বই হাতে পেয়ে মূল্য পরিশোধের সুযোগ


৭ দিনের মধ্যে পরিবর্তনের সুযোগ

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Inventors have long dreamed of creating machines that think. This desire dates back to at least the time of ancient Greece. The mythical figures Pygmalion, Daedalus, and Hephaestus may all be interpreted as legendary inventors, and Galatea, Talos, and Pandora may all be regarded as artificial life (Ovid and Martin, 2004; Sparkes, 1996; Tandy, 1997).

When programmable computers were first conceived, people wondered whether such machines might become intelligent, over a hundred years before one was built (Lovelace, 1842). Today, artificial intelligence (AI) is a thriving field with many practical applications and active research topics. We look to intelligent software to automate routine labor, understand speech or images, make diagnoses in medicine and support basic scientific research.

In the early days of artificial intelligence, the field rapidly tackled and solved problems that are intellectually difficult for human beings but relatively straight- forward for computers problems that can be described by a list of formal, math- ematical rules. The true challenge to artificial intelligence proved to be solving the tasks that are easy for people to perform but hard for people to describe formally problems that we solve intuitively, that feel automatic, like recognizing spoken words or faces in images.

This book is about a solution to these more intuitive problems. This solution is to allow computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts. By gathering knowledge from experience, this approach avoids the need for human operators to formally specify all the knowledge that the computer needs. The hierarchy of concepts enables the computer to learn complicated concepts by building them out of simpler ones.
Title Deep Learning (Adaptive Computation and Machine Learning series)
ISBN 9780262035613
Edition Edition, 2017
Number of Pages 775
Country India
Language English

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Deep Learning (Adaptive Computation and Machine Learning series)