Deep learning is a branch of machine learning that uses artificial neural networks with multiple layers to process data and identify increasingly complex patterns.
In robotics, deep learning can be used for tasks such as object recognition, image classification, perception, grasp detection, navigation and robot control. Instead of relying entirely on explicitly programmed rules, a deep-learning system can learn representations and patterns from large amounts of training data.
Deep learning is closely related to machine learning and neural networks. Neural networks provide the underlying computational architecture, while deep learning generally refers to neural networks with multiple processing layers capable of learning complex representations.
Related terms: Machine Learning, Neural Network, Computer Vision, Machine Vision, Physical AI
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