Deep learning can be applied to which of the following?

Deep learning, a subset of machine learning, is highly versatile and can be applied to a wide array of complex tasks across various domains. Its ability to learn intricate patterns from vast amounts of data makes it suitable for diverse applications.

• Image recognition (A) uses deep learning for tasks like object detection and facial recognition.
• Natural language processing (B) employs deep learning for language translation, sentiment analysis, and text generation.
• Speech recognition (C) leverages deep learning to convert spoken language into text.
• Thus, All of these (D) is the correct answer, as deep learning has revolutionized these fields.