Technology
Improving Model Generalization Using Dropout, Batch Normalization, and Data Augmentation
Introduction Think of training a machine learning model as raising a young musician. You can hand them sheet music and let them play it repeatedly, but without exposure to improvisation, different rhythms, and unexpected shifts, they risk freezing when placed on a live stage. In much the same way, models that are trained narrowly on […]
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