Design and Implementation of an Image Classifier using CNN

Sarthak Haldar
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Abstract

Surely there has been no time in history where the lived lives of people have changed more dramatically due to the emergence of Artificial Intelligence. Various research and development has taken place over the years on computer vision which is a branch of AI. AI disciplines like a vision system is applied in various fields like self driving cars, face detection by social media apps and law enforcement softwares, google lens and so on. This paper deals with design and implementation of an efficient way of training a GPU using python libraries to process and classify an image. The design is profoundly described along with its performance efficiency. The image processing techniques presented in this paper includes the concept of neural networks and deep learning.
基于CNN的图像分类器的设计与实现
当然,在历史上没有任何时候,由于人工智能的出现,人们的生活发生了如此巨大的变化。计算机视觉是人工智能的一个分支,多年来已经进行了各种研究和开发。像视觉系统这样的人工智能学科被应用于自动驾驶汽车、社交媒体应用和执法软件的人脸检测、谷歌镜头等各个领域。本文讨论了一种使用python库训练GPU处理和分类图像的有效方法的设计和实现。详细介绍了该系统的设计及其性能效率。本文提出的图像处理技术包括神经网络和深度学习的概念。
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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