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240103 ||| eng |
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|a 9781484298664
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| 050 |
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4 |
|a TA1634
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| 100 |
1 |
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|a Ansari, Shamshad
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| 245 |
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0 |
|a Building computer vision applications using artificial neural networks
|b with examples in OpenCV and TensorFlow with Python
|c Shamshad Ansari
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| 250 |
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|a Second edition
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| 260 |
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|a [Berkeley, CA]
|b Apress
|c 2023
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| 300 |
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|a xxii, 526 pages
|b illustrations (some color)
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| 505 |
0 |
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|a Chapter 1: Prerequisite and Software Installation -- Chapter 2: Core Concepts of Image and Video Processing -- Chapter 3: Techniques of Image Processing -- Chapter 4: Building Artificial Intelligence System For Computer Vision -- Chapter 5: Deep Learning or Artificial Neural Network -- Chapter 6: Deep Learning in Object Detection -- Chapter 7: Practical Example 1- Object Tracking in Videos -- Chapter 8: Practical Example 2- Face Recognition -- Chapter 9: Industrial Application - Realtime Defect Detection in Industrial -- Chapter 10: Computer Vision Modeling on the Cloud
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| 653 |
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|a Réseaux neuronaux (Informatique)
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| 653 |
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|a Logiciels d'application / Développement
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| 653 |
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|a Computer vision / http://id.loc.gov/authorities/subjects/sh85029549
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| 653 |
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|a Application software / Development / fast / (OCoLC)fst00811707
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| 653 |
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|a Machine learning / http://id.loc.gov/authorities/subjects/sh85079324
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| 653 |
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|a Python (Computer program language) / http://id.loc.gov/authorities/subjects/sh96008834
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| 653 |
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|a OpenCV (Computer program language) / fast / (OCoLC)fst01938441
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| 653 |
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|a OpenCV (Langage de programmation)
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| 653 |
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|a Neural networks (Computer science) / http://id.loc.gov/authorities/subjects/sh90001937
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| 653 |
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|a OpenCV (Computer program language) / http://id.loc.gov/authorities/subjects/sh2016000128
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| 653 |
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|a Apprentissage automatique
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| 653 |
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|a Image processing / fast / (OCoLC)fst00967501
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| 653 |
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|a Computer vision / fast / (OCoLC)fst00872687
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| 653 |
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|a Neural networks (Computer science) / fast / (OCoLC)fst01036260
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| 653 |
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|a Python (Langage de programmation)
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| 653 |
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|a Python (Computer program language) / fast / (OCoLC)fst01084736
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| 653 |
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|a image processing / aat
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| 653 |
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|a Image processing / http://id.loc.gov/authorities/subjects/sh85064446
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| 653 |
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|a Traitement d'images
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| 653 |
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|a Vision par ordinateur
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| 653 |
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|a TensorFlow / http://id.loc.gov/authorities/names/n2019020612
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| 653 |
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|a Machine learning / fast / (OCoLC)fst01004795
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| 653 |
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|a Application software / Development / http://id.loc.gov/authorities/subjects/sh95009362
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 500 |
|
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|a Includes index
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| 028 |
5 |
0 |
|a 10.1007/978-1-4842-9866-4
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| 024 |
8 |
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|a 10.1007/978-1-4842-9866-4
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| 776 |
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|z 9781484298657
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| 776 |
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|z 1484298667
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| 776 |
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|z 9781484298664
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| 776 |
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|z 1484298659
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| 856 |
4 |
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|u https://learning.oreilly.com/library/view/~/9781484298664/?ar
|x Verlag
|3 Volltext
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| 082 |
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|a 331
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| 082 |
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|a 006.3/7
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| 082 |
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|a 500
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| 520 |
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|a Computer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition⁰́₉s 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 you⁰́₉ll gain a thorough understanding of them. The book⁰́₉s 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, you⁰́₉ll have the knowledge and skills to build your own computer vision applications using neural networks You will: Understand image processing, manipulation techniques, and feature extraction methods Work with convolutional neural networks (CNN), single-shot detector (SSD), and YOLO Utilize large scale model development and cloud infrastructure deployment Gain an overview of FaceNet neural network architecture and develop a facial recognition system
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