Convolutional Neural Networks for Computer Vision

Convolutional neural networks (CNNs) have revolutionized the way we process and understand image data. In this course, you'll explore the role of CNNs in image computation, beginning with the properties of visual data and how the human visual system influences image processing techniques. The course covers the key building blocks of neural networks, discussing network layers, methods to enhance training and techniques to analyze networks through receptive fields, sensitivity maps and feature visualizations. The course also highlights innovative architectures like Inception, ResNets and U-Nets, as well as emerging designs such as visual transformers. Finally, we examine practical applications in image classification, segmentation, reconstruction and generative modeling, showcasing the wide range of possibilities CNNs offer for advancing image computation.