Building Computer Vision Applications Using Artificial Neural Networks: With Examples in OpenCV and TensorFlow with Python
Shamshad Ansari
ISBN 10: 8868806231 ISBN 13: 9788868806231
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Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide. N° de ref. del artículo ABNR-211106
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Título: Building Computer Vision Applications Using ...
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Building Computer Vision Applications Using Artificial Neural Networks : With Examples in OpenCV and TensorFlow with Python
Librería: Buchpark, Trebbin, Alemania
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Condición: Hervorragend. Zustand: Hervorragend | Seiten: 548 | Sprache: Englisch | Produktart: Bücher | Computer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition¿s publication. All code used in the book has also been fully updated.This second edition features new material covering image manipulation practices, image segmentation, feature extraction, and object identification using real-life scenarios to help reinforce each concept. These topics are essential for building advanced computer vision applications, and yoüll gain a thorough understanding of them. The book¿s source code has been updated from TensorFlow 1.x to 2.x, and includes step-by-step examples using both OpenCV and TensorFlow with Python. Upon completing this book, yoüll have the knowledge and skills to build your own computer vision applications using neural networks What You Will LearnUnderstand image processing, manipulation techniques, and feature extractionmethodsWork with convolutional neural networks (CNN), single-shot detector (SSD), and YOLOUtilize large scale model development and cloud infrastructure deploymentGain an overview of FaceNet neural network architecture and develop a facial recognition systemWho This Book Is ForThose who possess a solid understanding of Python programming and wish to gain an understanding of computer vision and machine learning. It will prove beneficial to data scientists, deep learning experts, and students. Nº de ref. del artículo: 42364480/1
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Building Computer Vision Applications Using Artificial Neural Networks : With Examples in OpenCV and TensorFlow with Python
Librería: Buchpark, Trebbin, Alemania
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Condición: Sehr gut. Zustand: Sehr gut | Seiten: 548 | Sprache: Englisch | Produktart: Bücher | Computer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition¿s publication. All code used in the book has also been fully updated.This second edition features new material covering image manipulation practices, image segmentation, feature extraction, and object identification using real-life scenarios to help reinforce each concept. These topics are essential for building advanced computer vision applications, and yoüll gain a thorough understanding of them. The book¿s source code has been updated from TensorFlow 1.x to 2.x, and includes step-by-step examples using both OpenCV and TensorFlow with Python. Upon completing this book, yoüll have the knowledge and skills to build your own computer vision applications using neural networks What You Will LearnUnderstand image processing, manipulation techniques, and feature extractionmethodsWork with convolutional neural networks (CNN), single-shot detector (SSD), and YOLOUtilize large scale model development and cloud infrastructure deploymentGain an overview of FaceNet neural network architecture and develop a facial recognition systemWho This Book Is ForThose who possess a solid understanding of Python programming and wish to gain an understanding of computer vision and machine learning. It will prove beneficial to data scientists, deep learning experts, and students. Nº de ref. del artículo: 42364480/2
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Building Computer Vision Applications Using Artificial Neural Networks : With Examples in OpenCV and TensorFlow with Python
Librería: Buchpark, Trebbin, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: Gut. Zustand: Gut | Seiten: 548 | Sprache: Englisch | Produktart: Bücher | Computer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition¿s publication. All code used in the book has also been fully updated.This second edition features new material covering image manipulation practices, image segmentation, feature extraction, and object identification using real-life scenarios to help reinforce each concept. These topics are essential for building advanced computer vision applications, and yoüll gain a thorough understanding of them. The book¿s source code has been updated from TensorFlow 1.x to 2.x, and includes step-by-step examples using both OpenCV and TensorFlow with Python. Upon completing this book, yoüll have the knowledge and skills to build your own computer vision applications using neural networks What You Will LearnUnderstand image processing, manipulation techniques, and feature extractionmethodsWork with convolutional neural networks (CNN), single-shot detector (SSD), and YOLOUtilize large scale model development and cloud infrastructure deploymentGain an overview of FaceNet neural network architecture and develop a facial recognition systemWho This Book Is ForThose who possess a solid understanding of Python programming and wish to gain an understanding of computer vision and machine learning. It will prove beneficial to data scientists, deep learning experts, and students. Nº de ref. del artículo: 42364480/3
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Building Computer Vision Applications Using Artificial Neural Networks: With Examples in OpenCV and TensorFlow with Python
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Building Computer Vision Applications Using Artificial Neural Networks: With Step-By-Step Examples in Opencv and Tensorflow with Python
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Paperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Nº de ref. del artículo: G148425886XI3N00
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Building Computer Vision Applications Using Artificial Neural Networks | With Step-by-Step Examples in OpenCV and TensorFlow with Python
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Taschenbuch. Condición: Neu. Building Computer Vision Applications Using Artificial Neural Networks | With Step-by-Step Examples in OpenCV and TensorFlow with Python | Shamshad Ansari | Taschenbuch | Englisch | Apress | EAN 9781484258866 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 118070893
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Building Computer Vision Applications Using Artificial Neural Networks | With Examples in OpenCV and TensorFlow with Python
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Taschenbuch. Condición: Neu. Building Computer Vision Applications Using Artificial Neural Networks | With Examples in OpenCV and TensorFlow with Python | Shamshad Ansari | Taschenbuch | xxii | Englisch | 2023 | Apress | EAN 9781484298657 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Nº de ref. del artículo: 127557334
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Building Computer Vision Applications Using Artificial Neural Networks: With Examples in OpenCV and TensorFlow with Python
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Building Computer Vision Applications Using Artificial Neural Networks: With Examples in OpenCV and TensorFlow with Python
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Building Computer Vision Applications Using Artificial Neural Networks: With Examples in Opencv and Tensorflow with Python (Paperback or Softback)
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Apress 11/18/2023, 2023
ISBN 10: 1484298659
ISBN 13: 9781484298657
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Paperback or Softback. Condición: New. Building Computer Vision Applications Using Artificial Neural Networks: With Examples in Opencv and Tensorflow with Python. Book. Nº de ref. del artículo: BBS-9781484298657
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