This repo aims to visually demonstrate the mechanics of gradient descent, a fundamental optimization algorithm widely used in machine learning. Through an example and application in linear regression, users can gain a deeper understanding of gradient descent's principles.
- Custom Function Demonstration: Explore gradient descent's behavior with a customizable function, allowing users to observe its convergence path and optimization process.
- Linear Regression Application: Witness gradient descent's application in linear regression, a classic example of utilizing optimization techniques to fit a model to data.