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Conceptual Understanding of Convolutional Neural Network- A Deep Learning Approach

机译:卷积神经网络的概念理解-一种深度学习方法

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Deep learning has become an area of interest to the researchers in the past few years. Convolutional Neural Network (CNN) is a deep learning approach that is widely used for solving complex problems. It overcomes the limitations of traditional machine learning approaches. The motivation of this study is to provide the knowledge and understanding about various aspects of CNN. This study provides the conceptual understanding of CNN along with its three most common architectures, and learning algorithms. This study will help researchers to have a broad comprehension of CNN and motivate them to venture in this field. This study will be a resource and quick reference for those who are interested in this field.
机译:在过去的几年中,深度学习已成为研究人员感兴趣的领域。卷积神经网络(CNN)是一种深度学习方法,已广泛用于解决复杂问题。它克服了传统机器学习方法的局限性。这项研究的目的是提供有关CNN各个方面的知识和理解。这项研究提供了CNN及其三种最常见的体系结构和学习算法的概念性理解。这项研究将帮助研究人员广泛地了解CNN,并激发他们在这一领域的冒险精神。这项研究将对那些对此领域感兴趣的人提供资源和快速参考。

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