Gradient Descent, Machine Learning, Neural Networks, Optimization, Linear Regression.
Implementing gradient descent involves updating the parameters iteratively. The update formula for parameter w is given by w = w — α * (dJ/dw), where α is the learning rate and (dJ/dw) is the derivative term of the cost function with respect to w. A similar update formula applies to parameter b.