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.
Who is it for?
How can it help you?
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