Gradient Descent and its Types

This article was published as a part of the Data Science Blogathon. Introduction The gradient descent algorithm is an optimization algorithm mostly used in machine learning and deep learning. Gradient descent adjusts parameters to minimize particular functions to local minima. In linear regression, it finds weight and biases, and deep learning backward propagation uses the … Continue reading Gradient Descent and its Types