Convolutional Neural Network Models

Convolutional Neural Networks (CNNs) are specialized computer models designed to recognize patterns in images and visual data. They work by scanning images with small filters that detect features like edges, textures, and shapes. These features are then combined across multiple layers to identify more complex objects, such as faces or animals. CNNs learn by adjusting these filters during training, improving their ability to classify or analyze images accurately. They are widely used in applications like facial recognition, medical imaging, and self-driving cars, making sense of visual information efficiently and effectively.