CNNs

CNNs (Convolutional Neural Networks) excel at image recognition, powering tasks from self-driving cars to medical diagnoses.

CNNs (Convolutional Neural Networks) are a specialized type of neural network, designed for processing pixel data. They leverage convolutional layers to automatically and adaptively learn spatial hierarchies of features from input images. This architecture makes them highly effective for computer vision tasks: think image classification (identifying objects in photos), object detection (locating those objects), and even facial recognition. Major applications include autonomous vehicles (e.g., Tesla's Autopilot), medical imaging analysis (detecting tumors), and content moderation (flagging inappropriate images online). Their ability to learn intricate patterns directly from raw pixel data revolutionized deep learning in the 2010s, largely thanks to breakthroughs like AlexNet in 2012.

https://www.ibm.com/topics/cnns