Deep Learning

Deep learning is an AI technique that uses multi-layered neural networks—modeled on the neural circuits of the human brain—to automatically learn high-level features from data. Also called "deep learning" (深層学習), it is a subfield of machine learning. In traditional machine learning, humans had to design the features (i.e., what information matters). Deep learning performs this step automatically. This enables more accurate pattern recognition and prediction from complex, large-scale data such as audio, images, video, and text. It is actively applied in areas including: • Image recognition (e.g., facial recognition, processing camera footage for autonomous vehicles) • Speech recognition (e.g., analyzing voice commands for smart speakers) • Natural language processing (e.g., translation, text generation, chatbots) • Generative AI (e.g., automatic generation of images, audio, and video) Technically, architectures such as convolutional neural networks (CNN), recurrent neural networks (RNN), and Transformers are used and selected based on the task at hand. Deep learning underpins AI's ability to appear to "understand and make decisions," and is the driving force behind the recent breakthroughs in AI technology.