Neural Geometry
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Neural Geometry
Neural Geometry is a way to look at how machine learning models, like neural networks, organize information in space. In design, this means thinking about how data points, shapes, or images are grouped together by these models. Neural Geometry helps designers understand how a machine learning model sees and sorts visual elements, which can help when creating tools that use artificial intelligence for pattern recognition or generative design. Designers can use this knowledge to make better choices about how to feed information into a model, or how to read the results, making machine learning tools more useful for creative projects.
machine learning design, neural networks, data visualization, pattern recognition, generative design, spatial organization
Neural Geometry on Design+Encyclopedia
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