Deep learning enhances image recognition technology through the use of artificial neural networks that can process and identify patterns in images. By training on large datasets, these networks learn to recognize complex features, enabling them to distinguish between various objects, scenes, and contexts with high accuracy. This capability has implications for numerous applications, including facial recognition, medical diagnostics, and automated surveillance, significantly improving the effectiveness of image analysis.