DEEP LEARNING. APPLICATIONS with MATAB

Deep learning is a branch of machine learning that teaches computers to do what comes naturally to humans: learn from experience. Machine learning algorithms use computational methods to "learn" information directly from data without relying on a predetermined equation as a model. Deep learning is especially suited for image recognition, which is important for solving problems such as facial recognition, motion detection, and many advanced driver assistance technologies such as autonomous driving, lane detection, pedestrian detection, and autonomous parking.

深度學習是機器學習的一個分支，教導電腦像人類一樣從經驗中學習。機器學習算法使用計算方法直接從數據中「學習」信息，而不依賴於預先確定的方程作為模型。深度學習特別適用於圖像識別，這對於解決人臉識別、運動檢測以及許多先進的駕駛輔助技術（如自動駕駛、車道檢測、行人檢測和自動停車）等問題非常重要。