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uses neural networks with many layers to analyze data

Deep Learning (DL) is a subset of machine learning that uses neural networks with many layers (hence "deep") to analyze and learn from large amounts of data. It mimics the way the human brain processes information, allowing it to recognize patterns, make decisions, and improve over time with more data. This technology is widely used in applications like image and speech recognition, natural language processing, and even in medical diagnostics, such as identifying patterns in hair loss conditions like alopecia.

Related Terms

• Machine Learning
• Convolutional Neural Network
• Artificial Intelligence
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• Digital Image Analysis
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• Neural Differentiation