Implementing deep learning model par ayachi riadh (6 résultats)
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Taschenbuch. Etat : Neu. Implementing Deep Learning Model for Object Detection | Artificial Intelligence for Computer Vision | Riadh Ayachi | Taschenbuch | 96 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200256843 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabr…ück, mail[at]preigu[dot]de | Anbieter: preigu.
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Etat : Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Giving the ability to a computer or robot to know a shape or pattern in an image is a very difficult problem to solve but it is not impossible. The use of learning algorithms allows a computer to identify a shape in an image for classification,… location or analysis. This shape can be a letter, a number or a real object. Many research works are presented in the field of pattern recognition to improve the performance of learning algorithms in terms of accuracy and speed. Since the 1940s researchers in artificial intelligence have been trying to unravel the secrets of the functioning of the human brain in the hope of being able to someday virtually replicate it and transfer it to machines that would become as intelligent and autonomous as human. Research progressed dramatically and began to design smart machines. AI used to be a fanciful concept from science fiction, but now it¿s becoming a daily reality. Neural networks are paving the way toward breakthroughs in machine learning, called ¿deep learning.¿ Deep learning and computer vision are transforming the way we interact with all the machines and devices in our lives, by enabling them to process what they¿re seeing in real time.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Giving the ability to a computer or robot to know a shape or pattern in an image is a very difficult problem to solve but it is not impossible. The use of learning algorithms allows a computer to identify a shape in an image for classif…ication, location or analysis. This shape can be a letter, a number or a real object. Many research works are presented in the field of pattern recognition to improve the performance of learning algorithms in terms of accuracy and speed. Since the 1940s researchers in artificial intelligence have been trying to unravel the secrets of the functioning of the human brain in the hope of being able to someday virtually replicate it and transfer it to machines that would become as intelligent and autonomous as human. Research progressed dramatically and began to design smart machines. AI used to be a fanciful concept from science fiction, but now it's becoming a daily reality. Neural networks are paving the way toward breakthroughs in machine learning, called 'deep learning.' Deep learning and computer vision are transforming the way we interact with all the machines and devices in our lives, by enabling them to process what they're seeing in real time. 96 pp. Englisch.
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ayachi RiadhRiadh Ayachi got his Bachelor s Degree in Electronics, Electro-Techniques and Automatic in 2015 and his Master s Degree in Micro and Nano Electronics in 2018 from Faculty of Sciences of Monastir…, Tunisia in 2015. Currentl.
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Giving the ability to a computer or robot to know a shape or pattern in an image is a very difficult problem to solve but it is not impossible. The use of learning algorithms allows a computer to identify a shape in an image for classificat…ion, location or analysis. This shape can be a letter, a number or a real object. Many research works are presented in the field of pattern recognition to improve the performance of learning algorithms in terms of accuracy and speed. Since the 1940s researchers in artificial intelligence have been trying to unravel the secrets of the functioning of the human brain in the hope of being able to someday virtually replicate it and transfer it to machines that would become as intelligent and autonomous as human. Research progressed dramatically and began to design smart machines. AI used to be a fanciful concept from science fiction, but now it's becoming a daily reality. Neural networks are paving the way toward breakthroughs in machine learning, called 'deep learning.' Deep learning and computer vision are transforming the way we interact with all the machines and devices in our lives, by enabling them to process what they're seeing in real time.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch.
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Giving the ability to a computer or robot to know a shape or pattern in an image is a very difficult problem to solve but it is not impossible. The use of learning algorithms allows a computer to identify a shape in an image for classificati…on, location or analysis. This shape can be a letter, a number or a real object. Many research works are presented in the field of pattern recognition to improve the performance of learning algorithms in terms of accuracy and speed. Since the 1940s researchers in artificial intelligence have been trying to unravel the secrets of the functioning of the human brain in the hope of being able to someday virtually replicate it and transfer it to machines that would become as intelligent and autonomous as human. Research progressed dramatically and began to design smart machines. AI used to be a fanciful concept from science fiction, but now it's becoming a daily reality. Neural networks are paving the way toward breakthroughs in machine learning, called 'deep learning.' Deep learning and computer vision are transforming the way we interact with all the machines and devices in our lives, by enabling them to process what they're seeing in real time.
