Which of the following is a characteristic of deep learning?

Deep learning is characterized by its use of large neural networks, which are particularly effective at learning from vast amounts of data. These neural networks can have many layers (hence the term "deep"), allowing them to capture complex patterns and hierarchical representations in the data without the need for manual feature extraction. Unlike traditional machine learning approaches that often rely on explicitly designed features, deep learning automatically discovers features that are relevant for the task at hand. This ability to leverage large datasets and learn from them makes deep learning particularly powerful in domains such as image and speech recognition, natural language processing, and more.

The other options do not accurately capture the essence of deep learning. Manual feature extraction is typically associated with traditional machine learning approaches. While deep learning can be applied in supervised settings, it is not limited to this approach and can also be utilized in unsupervised and semi-supervised learning. Finally, deep learning excels at managing large datasets rather than lacking the capacity to do so, as it is specifically designed to handle the scale and complexity of big data.