Deep Learning Models for Computer Vision
L. Ashok Kumar, D. Karthika Renuka · 2023
Digital photos, videos, and other visible inputs may be used to create useful information by computers and systems, thanks to the discipline of CV, a branch of AI. Deep learning algorithms have revolutionized the CV group by introducing nontraditional and efficient solutions to a variety of image-related problems that had previously gone unsolved or were only partially addressed. Training the application in deep learning with pre-trained architecture allows the system to work faster and predict more accurately. Using a pre-trained model improves the application’s optimization in the CV system. The pre-trained models of LeNet, AlexNet, VGG, Inception, R-CNN, Fast R-CNN, Faster R-CNN, Mask R-CNN, and YOLO are covered in this chapter.