Ads related to practical computer vision applications using deep learning with cnns: with detailed examples in python using tensorflow paperback
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Practical Computer Vision Appl...Deploy deep learning applications into production across multiple platforms. Y... Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional... more
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Learn Computer Vision Using Op...Build practical applications of computer vision using the OpenCV library with ... Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer vision such as image and object detection tracking and motion analysis and their applications with examples. The... more
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Mastering Computer Vision with...Apply neural network architectures to build state-of-the-art computer vision a... Apply neural network architectures to build state-of-the-art computer vision applications using the Python programming language Key Features Gain a fundamental understanding of advanced computer vision and neural network models in use today Cover... more
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Pre-Owned Practical Deep Learn...Our books are pre-loved which means they have been read before. We carefully c... Our books are pre-loved which means they have been read before. We carefully check all our books and believe them to be in good condition. If you re not completely satisfied please get in touch & we ll be happy to help. ISBN-10: 149203486X ISBN-13:... more
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Practical Deep Learning for Cl...Whether youâ re a software engineer aspiring to enter the world of deep learn... Whether youâ re a software engineer aspiring to enter the world of deep learning a veteran data scientist or a hobbyist with a simple dream of making the next viral AI app you might have wondered where to begin. This step-by-step guide teaches you... more
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Computer Vision Using Deep Lea...Organizations spend huge resources in developing software that can perform the... Organizations spend huge resources in developing software that can perform the way a human does. Image classification object detection and tracking pose estimation facial recognition and sentiment estimation all play a major role in solving computer... more
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Computing and Networks: Comput...Computer vision is an interdisciplinary scientific field that deals with how c... Computer vision is an interdisciplinary scientific field that deals with how computers obtain store interpret and understand digital images or videos using artificial intelligence based on neural networks machine learning and deep learning... more
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Deep Learning with Python: The...Do you want to learn how to write your own codes and programming and get your ... Do you want to learn how to write your own codes and programming and get your computer set up to learn just like humans do? Do you want to learn how to write out codes in deep learning-without having to spend years going to school to learn to code... more
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Advances in Computer Vision an...This book addresses one of the most important unsolved problems in artificial ... This book addresses one of the most important unsolved problems in artificial intelligence: the task of learning in an unsupervised manner from massive quantities of spatiotemporal visual data that are available at low cost. The book covers... more
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Advances in Computer Vision an...This book addresses one of the most important unsolved problems in artificial ... This book addresses one of the most important unsolved problems in artificial intelligence: the task of learning in an unsupervised manner from massive quantities of spatiotemporal visual data that are available at low cost. The book covers... more
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Python Machine Learning by Exa...A comprehensive guide to get you up to speed with the latest developments of p... A comprehensive guide to get you up to speed with the latest developments of practical machine learning with Python and upgrade your understanding of machine learning (ML) algorithms and techniques Key Features Dive into machine learning algorithms... more
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Automated Deep Learning Using ...Optimize develop and design PyTorch and TensorFlow models for a specific probl... Optimize develop and design PyTorch and TensorFlow models for a specific problem using the Microsoft Neural Network Intelligence (NNI) toolkit. This book includes practical examples illustrating automated deep learning approaches and provides... more
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Beginning Anomaly Detection Us...This beginner-oriented book will help you understand and perform anomaly detec... This beginner-oriented book will help you understand and perform anomaly detection by learning cutting-edge machine learning and deep learning techniques. This updated second edition focuses on supervised semi-supervised and unsupervised approaches... more
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Building Computer Vision Appli...Computer vision is constantly evolving and this book has been updated to refle... 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... more
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Hands-On Graph Neural Networks...Design robust graph neural networks with PyTorch Geometric by combining graph ... Design robust graph neural networks with PyTorch Geometric by combining graph theory and neural networks with the latest developments and apps Purchase of the print or Kindle book includes a free PDF eBook Key Features: Implement state-of-the-art... more
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Ads related to practical computer vision applications using deep learning with cnns: with detailed examples in python using tensorflow paperback