Dive into the fundamentals of Convolutional Neural Networks (CNNs) in this comprehensive lecture from the University of Central Florida's CAP5415 course. Begin with an introduction to CNNs, exploring their history, significant breakthroughs, and widespread applications beyond image processing. Examine the general CNN architecture, revisiting key concepts such as filtering, correlation, and convolution. Compare traditional neural networks with CNNs, and delve into the intricacies of convolution layers, operations, and parameters. Refresh your understanding of edge detection techniques and witness practical demonstrations. Gain insights into 2D convolution dimensions, stride, padding, and pooling. Conclude by learning how to visualize CNNs, providing a solid foundation for further exploration of this powerful deep learning technique.