Optimization is critical in machine learning to minimize loss functions. This course covers basic to advanced optimization algorithms, equipping you with the techniques needed to fine-tune machine learning models.
Overview
Syllabus
- Lesson 1: Newton's Method for Optimization
- Lesson 2: Basic Gradient Descent
- Lesson 3: Gradient Descent with Momentum
- Lesson 4: Adaptive Learning Rate Methods
