Deep Convolutional Neural Network (22 results)

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Taschenbuch. Condition: Neu. Deep learning in Remote sensing | Convolutional Neural Network (CNNs) | Lamyaa Taha (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786207447008 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

Taschenbuch. Condition: Neu. Object Detection and Recognition Using Deep Learning | Multinational and Multilingual License Plate Recognition using Convolutional Neural Network | Mohammed Salemdeeb | Taschenbuch | Englisch | 2020 | Scholars' Press | EAN 9786138945468 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses a detailed overview of diabetic retinopathy, symptoms, causes, and screening methodologies. Using a deep convolution neural network and visualizations techniques, this work develops a prognosis system used to automatically detect the diabetic retinopathy disease from captured retina images and help improve the prediction rate of diagnosis. This book gives the readers an understanding of the diabetic retinopathy disease and recognition process that helps to improve the clinical analysis efficiency. It caters to general ophthalmologists and optometrists, diabetologists, and internists who encounter diabetic patients and most prevalent retinal diseases daily.…

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses a detailed overview of diabetic retinopathy, symptoms, causes, and screening methodologies. Using a deep convolution neural network and visualizations techniques, this work develops a prognosis system used to automatically detect the diabetic retinopathy disease from captured retina images and help improve the prediction rate of diagnosis. This book gives the readers an understanding of the diabetic retinopathy disease and recognition process that helps to improve the clinical analysis efficiency. It caters to general ophthalmologists and optometrists, diabetologists, and internists who encounter diabetic patients and most prevalent retinal diseases daily.…

paperback. Condition: New. Paperback. Pub Date: 2020-09-01 Pas: 272 Language: Chinese Publisher: Electronic Industry Press. depth study is an important research branch in the field of artificial intelligence and machine learning. and the depth convolutional neural network is one of its core content. This book is an entry and improvement of books in deep convolutional neural networks to make readers learn and . …

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 340 Publisher: Tsinghua University Press main content Understand the working mechanism of ANN and CNN Create computer vision applications and CNN using Python Using Tensorflow from the concept to production Using Num with Kivy .

paperback. Condition: New. Paperback. Pub Date: 2021-10-01 Pages: 384 Publisher: Tsinghua University Press This book is based on the development of artificial intelligence as the background of the times. Through 20 machine learning models and algorithm cases. it provides readers with more detailed practical solutions for Deep learning.?In terms of layout. the book focuses on introducing the process of innovation projects. discussing data processing. model training and model application from the perspectives of overall .…

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2018-07-01 Publisher: Mechanical Industry Press aims to comprehensively introduce the models. algorithms and applications of various convolutional neural networks. and guide readers to grasp the basic context of its formation and evolution to help readers in the shorter The time to get started from the level of mastery. Interested readers can start from the book. through the classification. identification. detection and segmentation of the image. graduall.…

paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2018-11-01 Pages: 200 Publisher: Electronic Industry Press Deep learning. especially deep convolutional neural networks is an important branch of artificial intelligence. and convolutional neural network technology is also widely used in various realities. The scene has achieved more than human intelligence on many issues. This book is an introductory book in the field. covering deep content.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, an overview of DL is presented that adopts various perspectives such as state-of-the-arts deep learning techniques, Deep learning approaches, applications. Additionally, the potential problems on deep learning technology. This research presents convolutional neural networks (CNNs) which the most utilized DL network type. A survey of the CNN deep learning architectures that are frequently encountered in the literature, along with their strengths and limitations and describes the development of CNNs architectures together with their main features, e.g., AlexNet, VGG, ResNet, DenseNet, GoogLeNet, Inception: ResNet nd Inception V3/ V4, SegNet, U Net, Point CNN and MASK R-CNN .A detailed study on application of Convolutional Neural Network on the remote sensing to extract features is also explained. Challenges that met CNN were discussed.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Many real-life machine learning applications are increasingly guiding into focus on object detection and recognition. The traditional computer vision approaches do not achieve the needed accuracies. Deep learning-based approaches have achieved high accuracy levels raising the interest in such approaches in recent years. License plate detection and recognition have been extensively studied over the decades. However, more accurate and national/language-independent approaches are still in the focus of today's demand. In this book, we discuss an approach to detect and recognize multinational and multilingual license plates. The approach has four modules and each module is implemented using convolutional neural network architecture. The YOLOv2 detector with ResNet core network is utilized for license plate detection module. Faster R-CNN detector with a custom core network architecture is used for character segmentation module. Low complexity convolutional neural network architectures for license plate classification and character recognition modules are analyzed and studied. Each module is trained and tested separately and used to build end-to-end license plate recognition system.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses a detailed overview of diabetic retinopathy, symptoms, causes, and screening methodologies. Using a deep convolution neural network and visualizations techniques, this work develops a prognosis system used to automatically detect the diabetic retinopathy disease from captured retina images and help improve the prediction rate of diagnosis. This book gives the readers an understanding of the diabetic retinopathy disease and recognition process that helps to improve the clinical analysis efficiency. It caters to general ophthalmologists and optometrists, diabetologists, and internists who encounter diabetic patients and most prevalent retinal diseases daily. 88 pp. Englisch.…

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses a detailed overview of diabetic retinopathy, symptoms, causes, and screening methodologies. Using a deep convolution neural network and visualizations techniques, this work develops a prognosis system used to automatically detect the diabetic retinopathy disease from captured retina images and help improve the prediction rate of diagnosis. This book gives the readers an understanding of the diabetic retinopathy disease and recognition process that helps to improve the clinical analysis efficiency. It caters to general ophthalmologists and optometrists, diabetologists, and internists who encounter diabetic patients and most prevalent retinal diseases daily. 88 pp. Englisch.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Outlines a detailed overview of diabetic retinopathy, symptoms, causes and screening methodologiesPresents a deep learning approach to automatically detect diabetic retinopathy from captured retina imageDemonstrates a higher prediction rate.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book discusses a detailed overview of diabetic retinopathy, symptoms, causes, and screening methodologies. Using a deep convolution neural network and visualizations techniques, this work develops a prognosis system used to automatically detect the .…

Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book discusses a detailed overview of diabetic retinopathy, symptoms, causes, and screening methodologies. Using a deep convolution neural network and visualizations techniques, this work develops a prognosis system used to automatically detect the diabetic retinopathy disease from captured retina images and help improve the prediction rate of diagnosis. This book gives the readers an understanding of the diabetic retinopathy disease and recognition process that helps to improve the clinical analysis efficiency. It caters to general ophthalmologists and optometrists, diabetologists, and internists who encounter diabetic patients and most prevalent retinal diseases daily.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 88 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book discusses a detailed overview of diabetic retinopathy, symptoms, causes, and screening methodologies. Using a deep convolution neural network and visualizations techniques, this work develops a prognosis system used to automatically detect the diabetic retinopathy disease from captured retina images and help improve the prediction rate of diagnosis. This book gives the readers an understanding of the diabetic retinopathy disease and recognition process that helps to improve the clinical analysis efficiency. It caters to general ophthalmologists and optometrists, diabetologists, and internists who encounter diabetic patients and most prevalent retinal diseases daily.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 88 pp. Englisch.…

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.