首页|Research Conducted at Georgia Institute of Technology Has Updated Our Knowledge about Machine Learning (The Good, the Bad and the Ugly Sides of Data Augmentatio n: an Implicit Spectral Regularization Perspective)
Research Conducted at Georgia Institute of Technology Has Updated Our Knowledge about Machine Learning (The Good, the Bad and the Ugly Sides of Data Augmentatio n: an Implicit Spectral Regularization Perspective)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting from Atlanta, Georgia, by N ewsRx journalists, research stated, “Data augmentation (DA) is a powerful workho rse for bolstering performance in modern machine learning. Specific augmentation s like translations and scaling in computer vision are traditionally believed to improve generalization by generating new (artificial) data from the same distri bution.”
AtlantaGeorgiaUnited StatesNorth a nd Central AmericaCyborgsEmerging TechnologiesMachine LearningGeorgia In stitute of Technology
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