Gradient Descent: Revision history

5 November 2024

• curprev 05:5005:50, 5 November 2024‎ 핵톤 talk contribs‎ 5,617 bytes +5,617‎ Created page with "'''Gradient Descent''' is an optimization algorithm used to minimize a function by iteratively moving toward the function's minimum. In machine learning, gradient descent is commonly used to minimize the loss function, adjusting model parameters (weights and biases) to improve the model's performance. The algorithm calculates the gradient of the loss function with respect to each parameter and updates the parameters in the opposite direction of the gradient to reduce err..." Tag: Visual edit