midTensorFlow
What is backpropagation in TensorFlow?
Updated May 16, 2026
Short answer
Backpropagation updates model weights using gradients.
Deep explanation
It computes gradients from output to input layers using chain rule.
Real-world example
Training deep neural networks.
Common mistakes
- Not normalizing input data.
Follow-up questions
- Why is gradient descent needed?