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This introductory lecture explores the fundamentals of Convolutional Neural Networks (CNNs), beginning with a comprehensive review of the convolution operation that forms the backbone of these powerful deep learning architectures. Learn about the essential hyperparameters that govern CNN behavior and performance, providing a solid foundation for understanding how these specialized neural networks process and extract features from data, particularly in image recognition tasks.
