Deep Learning in Visual Computing
portes grátis
Deep Learning in Visual Computing
Explanations and Examples
Ugail, Hassan
Taylor & Francis Ltd
07/2022
134
Mole
Inglês
9780367549633
15 a 20 dias
453
Descrição não disponível.
1. Introduction 2. The Foundations of Deep Learning 3. Deep Learning Models for Visual Computing 4. Deep Face Recognition 5. Age Estimation from Face Images using Deep Learning 6. The Nose and Ethnicity 7. Analysis of Skin Burns using Deep Learning 8. Deep Learning Approaches to Cancer Diagnosis using Histopathological Images 9. A Deep Transfer Learning Model for the Analysis of Electrocardiograms 10. Advances in Visual Computing through Deep Learning 11. Frontiers and Challenges in Deep Learning for Visual Computing
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Deep Learning;Visual Computing;Machine Learning;SVMs;Applied Artificial Intelligence;RGB;CNN Model;Convolutional Layers;Face Images;Deep Learning Models;Linear SVM;Max Pooling Layer;Deep Learning Algorithms;CNN Feature;Residual Networks;Deep Convolutional Neural Networks;ReLU;Data Augmentation;Deep Learning Methods;Pre-trained Models;Transfer Learning;Convolution Layers;LBP;K-fold Cross-validation Techniques;Softmax Classifier;Face Recognition Algorithms;Dag
1. Introduction 2. The Foundations of Deep Learning 3. Deep Learning Models for Visual Computing 4. Deep Face Recognition 5. Age Estimation from Face Images using Deep Learning 6. The Nose and Ethnicity 7. Analysis of Skin Burns using Deep Learning 8. Deep Learning Approaches to Cancer Diagnosis using Histopathological Images 9. A Deep Transfer Learning Model for the Analysis of Electrocardiograms 10. Advances in Visual Computing through Deep Learning 11. Frontiers and Challenges in Deep Learning for Visual Computing
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Deep Learning;Visual Computing;Machine Learning;SVMs;Applied Artificial Intelligence;RGB;CNN Model;Convolutional Layers;Face Images;Deep Learning Models;Linear SVM;Max Pooling Layer;Deep Learning Algorithms;CNN Feature;Residual Networks;Deep Convolutional Neural Networks;ReLU;Data Augmentation;Deep Learning Methods;Pre-trained Models;Transfer Learning;Convolution Layers;LBP;K-fold Cross-validation Techniques;Softmax Classifier;Face Recognition Algorithms;Dag