Deep learning in marine species classification utilizes neural networks like CNNs and Swim Transformers to automatically identify species from images or videos. These models learn features directly from data, achieving high accuracy, scalability, and real-time classification. By extracting intricate patterns, they aid biodiversity monitoring and conservation efforts, contributing to understanding marine ecosystems.