Deep Neural Network based Image Recognition

Name: Deep Neural Network based Image Recognition
Brand: Scholars' Press
SKU: 9786138826828
Price: 221.16 RON
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Autor: Hafiz Ahamed, Ishraq Alam

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Editura: Scholars' Press

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

Informații despre carte

Autor

Hafiz Ahamed, Ishraq Alam

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2019

Pagini

EAN

9786138826828

ISBN

6138826825

Enbook ID

22352382

Editura

Scholars' Press

Greutate

118

Dimensiuni

152 x 229 x 4

Descriere completă

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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