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  2. Kunstig intelligens
  3. Machine learning

Building Computer Vision Applications Using Artificial Neural Networks

- With Examples in OpenCV and TensorFlow with Python
Af: Shamshad Ansari Engelsk Paperback

Building Computer Vision Applications Using Artificial Neural Networks

- With Examples in OpenCV and TensorFlow with Python
Af: Shamshad Ansari Engelsk Paperback
Tjek vores konkurrenters priser
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 you’ll 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, you’ll 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.
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Tjek vores konkurrenters priser
Normalpris
kr 573
Fragt: 39 kr
6 - 8 hverdage
20 kr
Pakkegebyr
God 4 anmeldelser på
Tjek vores konkurrenters priser
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 you’ll 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, you’ll 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.
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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 526
ISBN-13: 9781484298657
Indbinding: Paperback
Udgave:
ISBN-10: 1484298659
Kategori: Machine learning
Udg. Dato: 18 nov 2023
Længde: 33mm
Bredde: 177mm
Højde: 252mm
Forlag: APress
Oplagsdato: 18 nov 2023
Forfatter(e): Shamshad Ansari
Forfatter(e) Shamshad Ansari

Kategori Machine learning

ISBN-13 9781484298657

Sprog Engelsk

Indbinding Paperback

Sider 526

Udgave

Længde 33mm

Bredde 177mm

Højde 252mm

Udg. Dato 18 nov 2023

Oplagsdato 18 nov 2023

Forlag APress

Kategori sammenhænge