Question
A company trains a neural network with features around 0.01 and others in the millions. Loss decreases slowly and gradients are unstable across batches. What should the team try early?
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A company trains a neural network with features around 0.01 and others in the millions. Loss decreases slowly and gradients are unstable across batches. What should the team try early?
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