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Understanding the Principles of Neural Networks in Deep Learning

Introduction: In recent years, deep learning has emerged as a revolutionary technology in the field of artificial intelligence and has shown remarkable success in various applications such as image and speech recognition, natural language processing, and autonomous driving. At the heart of deep learning lies the powerful computational model known as neural networks. In this article, we will delve into the principles of neural networks, focusing on their structure, training algorithms, and the underlying mathematics that make them so effective in solving complex problems.

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