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In the context of deep learning, what is "vanishing gradient problem"?
- A) A problem where gradients become excessively large during training
- B) A problem where gradients become too small to affect model weights during backpropagation
- C) A problem where gradients are inconsistently calculated due to numerical instability
- D) A problem where gradients are not calculated due to a broken neural network architecture
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QUIZ ON AI
Сообщение 2024-08-26 09:32:36
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