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Machine Learning, 15. 125-135 (1994) 0 1994 Lower Academic Publishers, Boston. Manufactured in The Netherlands. Neural Network-Based Vision for Precise Control of a Walking Robot DEAN A. POWERLESS
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Neural network-based vision is used for image recognition and understanding tasks. It is a machine learning technique that enables computers to interpret and analyze visual data.
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The purpose of neural network-based vision is to enable computers to understand and interpret visual data. It is used in various applications such as object recognition, image classification, image segmentation, and video analysis. By leveraging neural networks, machines can analyze and extract meaningful information from images or videos, enabling advanced computer vision capabilities.
The specific information that must be reported on a neural network-based vision form may vary depending on the organization or jurisdiction. However, common details typically include the neural network architecture, training data sources and characteristics, evaluation metrics, intended use of the vision system, and any potential ethical considerations or biases.
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