The gradient explosion problem in deep learning can be mitigated using the _______ technique, which clips the gradients if they exceed a certain value.

  • Data Augmentation
  • Learning Rate Decay
  • Gradient Clipping
  • Early Stopping
Gradient clipping is a technique used to mitigate the gradient explosion problem in deep learning. It limits the magnitude of gradients during training, preventing them from becoming too large and causing instability.
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