Deep Neural Network based Image Recognition

Name: Deep Neural Network based Image Recognition
Brand: Scholars' Press
SKU: 9786138826828
Price: 906 CZK
Availability: InStock

Autor: Hafiz Ahamed, Ishraq Alam

Jazyk:

Vazba: Brožovaná

Vydavatel: Scholars' Press

Dostupnost: Skladem u dodavatele

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

Informace o knize

Autor

Hafiz Ahamed, Ishraq Alam

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2019

Stránek

EAN

9786138826828

ISBN

6138826825

Enbook ID

22352382

Vydavatel

Scholars' Press

Hmotnost

118

Rozměry

152 x 229 x 4

Kompletní popis

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

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