Mastering Machine Learning for Penetration Testing

Convolutional Neural Networks (CNNs)

Convolutional Neural Networks (CNNs) are a deep learning approach to tackle the image classification problem, or what we call computer vision problems, because classic computer programs face many challenges and difficulties to identify objects for many reasons, including lighting, viewpoint, deformation, and segmentation. This technique is inspired by how the eye works, especially the visual cortex function algorithm in animals. In CNN are arranged in three-dimensional structures with width, height, and depth as characteristics. In the case of images, the height is the image height, the width is the image width, and the depth is RGB channels. To build a CNN, we need three main types of layer:

• Convolutional ...