6. The Role of Convolutional Neural Networks (CNNs) in Image Generation

Convolutional Neural Networks (CNNs) play a crucial role in AI-generated images. CNNs are specialized deep learning models designed to process and understand visual data. Unlike traditional neural networks, CNNs use convolutional layers to analyze images in smaller sections, detecting features like edges, textures, and colors.

The key components of CNNs include:

• Convolutional Layers: Extract important features from an image.
• Pooling Layers: Reduce image size while maintaining key details.
• Fully Connected Layers: Interpret features and generate new outputs.

CNNs allow AI models to generate images that accurately resemble real-world objects, making them widely used in applications like image recognition, photo enhancement, and AI-generated portraits.