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Course 395: Machine Learning – Math. Intro.

Course 395: Machine Learning – Math. Intro. Brief Intro to Matrices, Vectors and Derivatives:. Equality: Two matrices and are equal iff Matrix addition Scalar Multilplication. Neural Networks – Math. Intro. Matrix transposition:.

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Course 395: Machine Learning – Math. Intro.

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  1. Course 395: Machine Learning – Math. Intro. Brief Intro to Matrices, Vectors and Derivatives: • Equality: Two matrices and • are equal iff • Matrix addition • Scalar Multilplication

  2. Neural Networks – Math. Intro. • Matrix transposition: • Dot product:

  3. Neural Networks – Math. Intro. • Matrix Multiplication: Let two matrices and • then : the dot product of • the i-th row of and the j-th column of • Example:

  4. Neural Networks – Math. Intro. • Partial derivatives Example 1:

  5. Neural Networks – Math. Intro. • Example 2:

  6. Neural Networks – Math. Intro. • Optimization problem • Compute the partial derivatives

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