What is the vanishing gradient problem associated with?
- Gradients becoming too small in deep networks
- Too much data
- Overfitting only
- Faster training
Explanation
Vanishing
gradients make early layers learn very slowly as gradients shrink during
backprop.
Related MCQs
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