Mathematics for machine learning
Gradient and Jacobian
How frameworks compute and apply derivatives at the vector and matrix level.
5 lessons
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Lesson 1 of 5
The gradient vector
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Lesson 2 of 5
The Jacobian matrix
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Lesson 3 of 5
Computing Jacobians
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Lesson 4 of 5
Vector–Jacobian products
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Lesson 5 of 5
Backprop as a Jacobian product