machine learning for perception
Machine learning for perception refers to the use of algorithms and models that enable machines to interpret and understand information received through sensors, such as cameras or microphones. It involves training intelligent systems to detect, recognize, and make sense of various inputs from the environment, allowing them to perceive and interact with the world like humans do.
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