Deep Learning · Level 2 of 5
Exploding Gradient
Gradients growing so large that optimization becomes unstable.
Repeated large derivative factors can produce extreme parameter updates.
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Exploding Gradient. Gradients growing so large that optimization becomes unstable. Repeated large derivative factors can produce extreme parameter updates. For example: A recurrent model's gradient norm suddenly jumps by many orders of magnitude.
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Why it matters
This helps explain why a neural model learns well, becomes unstable, or fails to generalize.
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