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Lesson 18 of 20 ยท Learning from Examples
Backpropagation
Backpropagation calculates how each weight contributed to the error and adjusts them accordingly. It is the key algorithm enabling deep learning.
- Backprop calculates each weight's error contribution.
- It enables training deep neural networks.
Think about it
What is batch normalization?
