Quand la machine apprend : La revolution des neurones artificiels et de l`apprentissage profond
We are living in a revolution that seemed incredible just 50 years ago, a revolution in smart machines that now learn on their own, instead of just following programmed commands. And the possibilities of such machines are enormous: image recognition, face and voice recognition, translations into hundreds of languages, unmanned vehicles, detection of tumors in medical images, and much more. The author of the book, Jan Lekun, is at the forefront of this revolution. A Turing Award-winning professor at NYU and head of fundamental research at Facebook, he is one of the inventors of deep learning applied to so-called artificial neural networks, whose architecture and operation are inspired by the human brain. In his book, without resorting to metaphors, he shares his scientific approach at the intersection of computer science and neuroscience, shedding light on the future of artificial intelligence, the problems and prospects associated with it. Today, artificial intelligence is really changing our entire society. This clear and accessible book will take you to the heart of the machine, opening up a fascinating new world that is already our reality.
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Quand la machine apprend : La revolution des neurones artificiels et de l`apprentissage profond
We are living in a revolution that seemed incredible just 50 years ago, a revolution in smart machines that now learn on their own, instead of just following programmed commands. And the possibilities of such machines are enormous: image recognition, face and voice recognition, translations into hundreds of languages, unmanned vehicles, detection of tumors in medical images, and much more. The author of the book, Jan Lekun, is at the forefront of this revolution. A Turing Award-winning professor at NYU and head of fundamental research at Facebook, he is one of the inventors of deep learning applied to so-called artificial neural networks, whose architecture and operation are inspired by the human brain. In his book, without resorting to metaphors, he shares his scientific approach at the intersection of computer science and neuroscience, shedding light on the future of artificial intelligence, the problems and prospects associated with it. Today, artificial intelligence is really changing our entire society. This clear and accessible book will take you to the heart of the machine, opening up a fascinating new world that is already our reality.
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Quand la machine apprend : La revolution des neurones artificiels et de l`apprentissage profond

Quand la machine apprend : La revolution des neurones artificiels et de l`apprentissage profond

Quand la machine apprend : La revolution des neurones artificiels et de l`apprentissage profond

Quand la machine apprend : La revolution des neurones artificiels et de l`apprentissage profond

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Overview

We are living in a revolution that seemed incredible just 50 years ago, a revolution in smart machines that now learn on their own, instead of just following programmed commands. And the possibilities of such machines are enormous: image recognition, face and voice recognition, translations into hundreds of languages, unmanned vehicles, detection of tumors in medical images, and much more. The author of the book, Jan Lekun, is at the forefront of this revolution. A Turing Award-winning professor at NYU and head of fundamental research at Facebook, he is one of the inventors of deep learning applied to so-called artificial neural networks, whose architecture and operation are inspired by the human brain. In his book, without resorting to metaphors, he shares his scientific approach at the intersection of computer science and neuroscience, shedding light on the future of artificial intelligence, the problems and prospects associated with it. Today, artificial intelligence is really changing our entire society. This clear and accessible book will take you to the heart of the machine, opening up a fascinating new world that is already our reality.

Product Details

ISBN-13: 9785907470552
Publisher: Alpina PRO
Publication date: 05/03/2023
Sold by: Bookwire
Format: eBook
Pages: 351
File size: 5 MB
Language: Russian
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