How do I resolve gradient clipping issues in TensorFlow models

Question

With the help of a code example, can you tell me How do I resolve gradient clipping issues in TensorFlow models?

Answer 1

To resolve gradient clipping issues in TensorFlow models, you can follow the following steps:

• Apply Gradient Clipping
  • Use clip_by_value or clip_by_global_norm to clip gradients during training.
• Use Global Gradient Clipping
  • Clip gradients globally to handle exploding gradients effectively.
• In Keras Training API
  • Use clipnorm or clipvalue directly in the optimizer.
• Monitor Gradients
  • Check for vanishing or exploding gradients to adjust clipping thresholds.
• Experiment with Thresholds
  • Adjust clipping thresholds (clipnorm or clipvalue) based on gradient magnitudes.

Here are the code snippets explaining the above steps:

Hence, By applying these techniques, you can resolve gradient clipping issues and stabilize training effectively.