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Mathematics for machine learning

Stochastic optimization

SGD, mini-batches, variance reduction, and adaptive methods.

5 lessons Follow in order
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Lessons in sequence

Work through these in order—each lesson builds on the previous one.

  1. Lesson 1 of 5

    SGD fundamentals

    Enroll to open · 8 min read

  2. Lesson 2 of 5

    Mini-batch trade-offs

    Enroll to open · 7 min read

  3. Lesson 3 of 5

    Variance reduction

    Enroll to open · 8 min read

  4. Lesson 4 of 5

    Adam and adaptive learning rates

    Enroll to open · 8 min read

  5. Lesson 5 of 5

    SGD in deep learning

    Enroll to open · 8 min read

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