Mathematics for machine learning
Geometry and optimization
Loss landscapes, gradient descent, learning rates, and momentum.
5 lessons
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Work through these in order—each lesson builds on the previous one.
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Lesson 1 of 5
One step of gradient descent
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Lesson 2 of 5
Convexity (sketch)
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Lesson 3 of 5
High-dimensional intuition
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Lesson 4 of 5
Learning rate and step sizes
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Lesson 5 of 5
Momentum and acceleration