001484355 000__ 04358cam\\2200685\i\4500 001484355 001__ 1484355 001484355 003__ OCoLC 001484355 005__ 20240117003321.0 001484355 006__ m\\\\\o\\d\\\\\\\\ 001484355 007__ cr\un\nnnunnun 001484355 008__ 231128s2023\\\\caua\\\\o\\\\\001\0\eng\d 001484355 019__ $$a1410333582$$a1410593689 001484355 020__ $$a9781484298664$$q(electronic bk.) 001484355 020__ $$a1484298667$$q(electronic bk.) 001484355 020__ $$z9781484298657 001484355 020__ $$z1484298659 001484355 0247_ $$a10.1007/978-1-4842-9866-4$$2doi 001484355 035__ $$aSP(OCoLC)1410821552 001484355 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dOCLCO$$dYDX$$dEBLCP$$dORMDA 001484355 049__ $$aISEA 001484355 050_4 $$aTA1634 001484355 08204 $$a006.3/7$$223/eng/20231128 001484355 1001_ $$aAnsari, Shamshad,$$eauthor. 001484355 24510 $$aBuilding computer vision applications using artificial neural networks :$$bwith examples in OpenCV and TensorFlow with Python /$$cShamshad Ansari. 001484355 250__ $$aSecond edition. 001484355 264_1 $$a[Berkeley, CA] :$$bApress,$$c2023. 001484355 300__ $$a1 online resource (xxii, 526 pages) :$$billustrations (some color) 001484355 336__ $$atext$$btxt$$2rdacontent 001484355 337__ $$acomputer$$bc$$2rdamedia 001484355 338__ $$aonline resource$$bcr$$2rdacarrier 001484355 500__ $$aIncludes index. 001484355 5050_ $$aChapter 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. 001484355 506__ $$aAccess limited to authorized users. 001484355 520__ $$aComputer vision is constantly evolving, and this book has been updated to reflect new topics that have emerged in the field since the first edition⁰́b9s 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 you⁰́b9ll gain a thorough understanding of them. The book⁰́b9s 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, you⁰́b9ll 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. 001484355 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 28, 2023). 001484355 63000 $$aTensorFlow. 001484355 650_6 $$aVision par ordinateur. 001484355 650_6 $$aRéseaux neuronaux (Informatique) 001484355 650_6 $$aOpenCV (Langage de programmation) 001484355 650_6 $$aLogiciels d'application$$xDéveloppement. 001484355 650_6 $$aPython (Langage de programmation) 001484355 650_6 $$aTraitement d'images. 001484355 650_6 $$aApprentissage automatique. 001484355 650_0 $$aComputer vision.$$vCongresses$$0(DLC)sh2008101162 001484355 650_0 $$aNeural networks (Computer science)$$vCongresses$$0(DLC)sh2008108385 001484355 650_0 $$aOpenCV (Computer program language) 001484355 650_0 $$aApplication software$$xDevelopment. 001484355 650_0 $$aPython (Computer program language)$$0(DLC)sh 96008834 001484355 650_0 $$aImage processing. 001484355 650_0 $$aMachine learning.$$vCongresses$$0(DLC)sh2008107143 001484355 655_0 $$aElectronic books. 001484355 77608 $$iPrint version:$$z1484298659$$z9781484298657$$w(OCoLC)1395178030 001484355 852__ $$bebk 001484355 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-1-4842-9866-4$$zOnline Access$$91397441.1 001484355 909CO $$ooai:library.usi.edu:1484355$$pGLOBAL_SET 001484355 980__ $$aBIB 001484355 980__ $$aEBOOK 001484355 982__ $$aEbook 001484355 983__ $$aOnline 001484355 994__ $$a92$$bISE