Gradient Descent, Machine Learning, Neural Networks, Optimization, Linear Regression.
or functions with only two parameters. It can be applied to more complex functions with multiple parameters, such as those encountered in neural network models. The goal remains the same — to minimize the cost function by adjusting the parameters appropriately. III. Implementing Gradient Descent