Weight Initialization
The strategy of assigning initial random numeric values to neural weights to prevent gradient explosion.
Weight Initialization assigns initial weights using probability distributions (like Xavier or Kaiming methods) to prevent gradient signals from exploding or vanishing during the first steps of training.
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