The correct answer is: A. Real-time visual object identification
Deep learning is a type of machine learning that uses artificial neural networks to learn from data. It has been used to solve a variety of problems, including image recognition, natural language processing, and speech recognition.
Real-time visual object identification is a task that can be solved using deep learning. Deep learning algorithms can be trained to identify objects in images or videos in real time. This is useful for applications such as security, surveillance, and self-driving cars.
Classic approaches are methods that have been used to solve problems before the advent of deep learning. These methods include rule-based systems, statistical methods, and heuristic methods.
Automatic labeling is the process of assigning labels to data. This can be done manually or automatically. Manual labeling is time-consuming and expensive, while automatic labeling can be more efficient. However, automatic labeling can be error-prone.
Bio-inspired adaptive systems are systems that are inspired by the way that biological systems work. These systems can be used to solve problems in a variety of domains, including robotics, control, and optimization.
In conclusion, the correct answer is: A. Real-time visual object identification. Deep learning is a powerful tool that can be used to solve a variety of problems, including real-time visual object identification.