A specialized type of neural network designed to process grid-like data, particularly effective for image analysis.
Detailed Explanation
Convolutional Neural Networks (CNNs) are a class of deep learning models optimized for processing structured grid data such as images. They utilize convolutional layers to automatically and adaptively learn spatial hierarchies of features, making them highly effective for tasks like image recognition, object detection, and facial recognition. CNNs significantly improve accuracy through their ability to capture local patterns and invariant features in visual data.
Use Cases
•Enhance image recognition accuracy in autonomous vehicles by deploying CNNs for real-time object detection and classification.