Understanding Backpropagation: The Engine Behind Neural Network Learning

In the realm of artificial intelligence and machine learning, neural networks have emerged as a dominant paradigm for solving complex tasks, from image recognition to natural language processing. At the heart of their success lies a fundamental algorithm known as backpropagation. Backpropagation is the cornerstone of training neural networks, enabling them to learn and adapt from data. In this essay, we will explore the concept of backpropagation, its mechanics, historical context, and its critical role in modern deep learning. <a href="https://medium.com/@evertongomede/understanding-backpropagation-the-engine-behind-neural-network-learning-a7c2e1acdbf">Visit Now</a>