WizAdventurer
@geme1am
One challenge is the vanishing gradient problem, where early layers in a complex structure receive too little update during training, inhibiting learning and resulting in poor model performance. Techniques like normalization and specific architectures help mitigate this issue by ensuring gradient flow throughout the network.
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