Deep Learning for Computer Vision

Deep Learning for Computer Vision is a specialized field that applies deep neural networks, most notably Convolutional Neural Networks (CNNs), to enable computers to interpret and understand visual information from images and videos. Unlike traditional computer vision techniques that relied on manually engineered feature extractors, deep learning models automatically learn a hierarchy of features directly from raw pixel data, leading to breakthrough performance in tasks such as image classification, object detection, semantic segmentation, and image generation. This powerful approach has become the cornerstone of modern computer vision, driving innovations in autonomous vehicles, medical image analysis, facial recognition, and augmented reality.