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Matrix Calculus

Gradients for optimization - the math behind backpropagation

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What you'll unlock:

  • 1. Derivatives of Scalar Functions of Matrices
  • 2. The Gradient and the Jacobian
  • 3. The Chain Rule for Matrices
  • 4. Common Matrix Derivatives
  • 5. Automatic Differentiation
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