Könyv Deep Neural Network based Image Recognition Hafiz Ahamed

Deep Neural Network based Image Recognition

Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Scholars' Press
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
15 427 Ft
Image recognition is a challenging problem that has recently received much attention in computer vis...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2019
oldal
72
EAN
9786138826828
ISBN
6138826825
Enbook ID
22352382
Súly
118
Méretek
152 x 229 x 4

Teljes leírás

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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