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Residual networks are the backbones of many state-of-art computer vision and machine learning algorithms. Which property of the objective functions (cost or loss functions) of
Residual networks are the backbones of many state-of-art computer vision and machine learning algorithms. Which property of the objective functions (cost or loss functions) of residual networks are useful for parallel processing with GPUs? Explain how this property is used for parallel processing?
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