Deep Neural Network based Image Recognition

Name: Deep Neural Network based Image Recognition
Brand: Scholars' Press
SKU: 9786138826828
Price: 42.14 EUR
Availability: InStock

Автор: Hafiz Ahamed, Ishraq Alam

Език:

Корици: С меки корици

Издател: Scholars' Press

Наличност: Външен склад

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42.14 € 82.42 лв

Image recognition is a challenging problem that has recently received much attention in computer vis...

Информация за книгата

Автор

Hafiz Ahamed, Ishraq Alam

Език

Английски език

Корици

Книга - С меки корици

Издадена

2019

страници

EAN

9786138826828

ISBN

6138826825

Enbook ID

22352382

Издател

Scholars' Press

Теглоt

118

Размери

152 x 229 x 4

Пълно описание

Image recognition is a challenging problem that has recently received much attention in computer vision and machine learning. This book presents a comprehensive overview of the problem of image recognition based on deep neural network. we present an approach to recognize digits using four models i.e. Logistic Regression Model (LRM), Support Vector Machine (SVM), Back Propagation Neural Network (BPNN) & Convolutional Neural Network (CNN). Face recognition is a biometric system used to identify or verify a person from a digital image mostly used in security and surveillance purpose. Thus, we are inspired to inspect the effectiveness of deep neural network on face recognition. we present a deep neural network architecture referred as HOG-CNN for face recognition. The goal is to face recognize faces in real time i.e. using webcam, from a photograph or from a set of faces tracked in a video. This book also presents an approach to recognize objects in real time i.e. using webcam, from a photograph or from a set of objects tracked in a video.

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Deep Neural Network based Image Recognition

Информация за книгата

Пълно описание

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