"Master the basics of Convolutional Neural Networks (CNNs) with our simple example. Learn how to calculate the number of parameters in a CNN, understand key concepts like kernels, strides, padding, pooling, and flattening. Discover the impact of padding, strides, and channels on CNN performance. Get practical insights and formulas to optimize your CNN models for better results."