Deep learning is adept at performing tasks requiring high accuracy in pattern recognition and complex data analysis—but it’s not necessary for all machine learning tasks. Common applications of deep learning include image recognition and computer vision (e.g., facial recognition in photos), natural language processing (e.g., powering chatbots and machine translation); speech recognition (e.g., voice assistants like Siri and Alexa); and recommendation platforms (e.g., suggesting products you might like on online shopping platforms).