8. How Neural Networks Understand and Generate Colors

Neural networks do not "see" colors like humans do, but they process color information using mathematical representations. AI models break images down into numerical values corresponding to **Red, Green, and Blue (RGB)** channels.

The process of AI color generation involves:

• Analyzing color relationships in training datasets.
• Applying learned color schemes to new AI-generated images.
• Adjusting contrast, brightness, and saturation for realistic effects.

AI-generated artwork often features unique and vibrant color compositions, as the model can blend colors in ways that are difficult for human artists to replicate manually.