Understanding Convolutional Neural Networks: Mechanisms and Kernel Operations

Ever wondered how Convolutional Neural Networks (CNNs) process data and generate feature maps? In this video, we dive into the workings of CNNs, focusing on how kernels (or filters) slide across the input layer, perform element-wise multiplications, and create feature maps. Discover how strides influence the size of these maps and follow the steps from generating outputs like Z1 and Z2 to flattening feature maps into predictions. Perfect for anyone looking to understand the core mechanics of CNNs and their role in deep learning!

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