Deep Learning Theory

Deep learning theory is a subset of artificial intelligence that mimics how the human brain processes information. It uses neural networks, which are layers of connected nodes (like neurons), to analyze vast amounts of data. These networks learn patterns and make decisions based on examples they are trained on. For instance, deep learning can recognize images, understand natural language, or play complex games. Its power lies in its ability to improve performance as it processes more data, making it increasingly effective in tasks like speech recognition and autonomous driving, driving innovation across various fields.