Stop 07 · Deep Learning FoundationsTopics · 6/11
Gradient Descent Variants (SGD, Adam)
Part of the AI Engineer Roadmap
In short
Optimization algorithms that update model weights using gradients — SGD is the simplest, Adam adds momentum and adaptive learning rates and is the default for most deep learning.
How to learn this
- 1Train the same model with SGD and Adam and compare convergence speed.
- 2Learn what momentum and adaptive learning rates conceptually solve.
- 3Understand learning rate scheduling and why a fixed rate is often suboptimal.
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