卷积神经网络的深度学习:从理论到实践

Kritika Pandey, Sanskruti Patel
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摘要

在不断变化的人工智能时代,深度学习扮演着至关重要的角色。它基本上是机器学习的一部分。深度学习的主要特点是它的模型在没有任何人为干预的情况下工作。随着新技术的日益发展,深度学习模型被应用于医疗保健、农业、生物信息学等多个领域。本研究讨论了深度学习模型之一CNN的介绍、概述、CNN的构建模块、CNN的不同架构、在多个领域的应用、研究人员成功使用CNN模型的问题和挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deep Learning with Convolutional Neural Networks: from Theory to Practice
In the changing era of AI, Deep Learning plays a vital role. It is basically a part of Machine Learning. The main attribute of Deep Learning is that its models works without any human intervention. As the new technologies taking place day by day Deep Learning models are used in several areas such as in Healthcare, Agriculture, Bioinformatics and so on. This study discusses about one of the deep learning model, namely CNN, its introduction, overview, building blocks of CNN, different architecture of CNN, applications in several Domain areas, issues and challenges where researchers used CNN model successfully.
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