The Principles of the Convolution

Learn the fundamental principles behind convolution in convolutional neural networks. Understand how convolutional layers preserve spatial structures by sliding kernels over images to extract features. This lesson helps you grasp key concepts such as local receptive fields, feature maps, and how convolutions capture spatial correlations, preparing you to implement convolution operations from scratch.