AI and Statistics Terminology Glossary: "Deep Learning"
Automatic feature extraction by machines! Introducing the differences between deep learning and machine learning.
Deep learning is a form of machine learning that involves machines learning from large amounts of data to extract features from that data. Deep learning differs from traditional machine learning in that, in traditional machine learning, the manual extraction of features is the initial step, and models are built using those features. However, in deep learning, features are automatically extracted by the machine. *For detailed content of the glossary, please refer to the related links. For more information, feel free to contact us.*
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