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8 - Convex Functions II
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Topics
1 - Introduction to Optimization Theory
2 - Least Squares Optimization
3 - Least Squares and Statistics
4 - Constrained Least Squares and Applications
5 - Convex Sets
6 - Convex Sets II
7 - Convex Functions
8 - Convex Functions II
9 - Convex Optimization and Disciplined Convex Programming
10 - Data Fitting
11 - Convex Optimization in Statistics
12 - Duality and Classifiers
13 - Local Optimization and Neural Networks
14 - Stochastic Gradient Descent
15 - Training Deep Neural Networks
Acknowledgements
Topics
8 - Convex Functions II
Module 8: Convex Functions II
Learning Objectives
Rules for constructing convex functions
Readings
Section 3.2 of
Convex Optimization
7 - Convex Functions
9 - Convex Optimization and Disciplined Convex Programming