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Lesson 17 of fast.ai's *Practical Deep Learning for Coders* argues that keeping every layer's activations near mean 0 and standard deviation 1 is the main thing that decides whether a deep network trains well. Jeremy...
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Lesson 17 of fast.ai's *Practical Deep Learning for Coders* argues that keeping every layer's activations near mean 0 and standard deviation 1 is the main thing that decides whether a deep network trains well. Jeremy...
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