使用卷积神经网络的图像识别、分类和分析

2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) Pub Date : 2022-02-16 DOI:10.1109/ICEEICT53079.2022.9768474

R. R, G. R. Namita, Rohit Kulkarni

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引用次数: 1

摘要

本文对用于图像分类的卷积神经网络的各种架构进行了全面的讨论和分析。本文拟在CIFAR10数据集上实现并分析AlexNet、VGG16、VGG19和ResNet50作为图像分类器的性能。准确度、损失和混淆矩阵被用作分析性能的指标。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Image Recognition, Classification and Analysis Using Convolutional Neural Networks

This paper presents a comprehensive discussion and analysis of the various architectures of Convolutional Neural Networks for image classification. This paper intends to implement and analyze the performance of AlexNet, VGG16, VGG19 and ResNet50 as Image Classifiers on the dataset CIFAR10. Accuracy, Loss and Confusion Matrix were used as metrics to analyze the performance.

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来源期刊

2022 First International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)

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