This template illustrates a Convolutional Neural Network (CNN) architecture used for image classification tasks. It details the process from input to output, beginning with an input image of size 28x28 pixels. The network consists of multiple layers, including convolutional layers (C1 and C2) that extract features from the input image, and pooling layers (S1 and S2) that reduce the spatial size of the feature maps. Click to learn more details and try to use EdrawMax to create diagrams for your academic and professional work.
