Gradient Descent Infographic
Our Gradient Descent Infographic provides an in-depth overview of an essential method widely applied in machine learning.
What is Gradient Descent?
Gradient Descent is an optimization algorithm that finds the local minimum of a function. It’s used in machine learning for cost function minimization. Gradient descent is essential to various machine learning models used by data scientists and machine and deep learning engineers.
The infographic offers a well-rounded definition of gradient descent, machine learning applications, and the method's intuition. It further outlines the step-by-step process of the gradient descent algorithm—starting with initial coefficient values and repeating the process until converging on a minimum. The infographic also highlights the gradient descent assumptions and compares the pros and cons of stochastic gradient descent—a variant that updates the coefficients more frequently.
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