Convolutional Neural Networks: CNNs

CNNs are specialized deep neural networks. These have a grid-like topology, say visual imagery. They are useful in image recognition, classification, object detection and segmentation. They have the ability to learn hierarchical representation features. These are used for computer vision (CV) tasks and have revolutionized fields such as medical imaging and image recognition.

Convoluted refers to convolution layers which perform the main operation. Here a small filter or kernel is slided over the input image. It computes the dot product between the filter and the portion of the image it is currently covering. The operation is repeated across the whole image. It produces a feature map that captures relevant patterns.