Optimization II
Optimization II
This lecture continues on the topic of descent from the previous lesson, Optimization I. This lesson is a part of the Deep Learning Course at NYU's Center for Data Science. Prerequisites for this module include: Models 1-7 of this course and an Introduction to Data Science or a Graduate Level Machine Learning course.
Topics covered in this lesson
- Gradient descent
- Stochastic gradient descent
- Momentum
External Links
Prerequisites
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