What is ‘weight initialization’ and why does it critically affect deep network training?

AI Fundamentals Hard

AI Fundamentals — Hard

What is ‘weight initialization’ and why does it critically affect deep network training?

Key points

  • Weight initialization impacts gradient flow and training convergence
  • Proper initialization prevents issues like vanishing or exploding gradients
  • Different initialization strategies can affect model performance

Ready to go further?

Related questions