Last episode, we learned what a Convolutional Neural Network (CNN) is. Now, we go under the hood to deconstruct its two most critical components: the convolutional layer and the pooling layer. You'll learn how these layers work together, using analogies of patterned flashlights and neighborhood summaries, to allow AI to 'see' and build robust, efficient visual understanding.
