What We Cover Today
What a convolutional layer actually does — and why it beats dense layers for images
Filters, kernels, feature maps, stride, and padding explained from first principles
CNN architecture: how layers stack to build spatial understanding
Implementing a CNN in PyTorch for image classification
Where CNNs live inside production computer vision pipelines at scale
