Machine Learning, Deep Learning, Algorithms, Loss Function, Optimization.
updating the model parameters after each iteration. The second term of the equation calculates the slope or gradient of the curve at each iteration. The gradient of the cost function is calculated as partial derivative of cost function J with respect to each model parameter Wj, j takes value of