Mathematics for machine learning
Stochastic optimization
SGD, mini-batches, variance reduction, and adaptive methods.
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
SGD fundamentals
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Lesson 2 of 5
Mini-batch trade-offs
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Lesson 3 of 5
Variance reduction
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Lesson 4 of 5
Adam and adaptive learning rates
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Lesson 5 of 5
SGD in deep learning