The "deep" nature of the model in the image comes from its stacked layer structure, which acts as a filter to extract meaning: : The raw image pixels (e.g.,

: Use mathematical "kernels" to detect low-level features like edges, lines, and dark spots.

: Downsample the data to reduce its size, making the model faster and less prone to overfitting.