Hands-On Machine Learning for Cybersecurity

Theory of CNN

CNNs are a class of feedforward neural network (FFNN). In deep learning, a CNN, or ConvNet, is a class of deep FFNN, most commonly applied to analyzing visual imagery.

CNNs use a variation of multilayer perceptrons designed to require minimal preprocessing. They are also known as shift invariant or space invariant artificial neural networks (SIANNs), based on their shared-weights architecture and translation invariance characteristics.

Convolutional networks were inspired by biological processes in that the connectivity pattern between neurons resembles the organization of the animal visual cortex. Individual cortical neurons respond to stimuli only in a restricted region of the visual field known as the receptive field. The ...