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Lesson 17 of 20 · Learning from Examples
Gradient descent
Gradient descent is the optimization algorithm that trains neural networks. It adjusts weights by following the slope of the loss function downhill.
- Gradient descent adjusts model weights.
- It follows the loss function slope to find minima.
Think about it
What is a learning rate?