Linear Regression, Gradient Descent, Machine Learning, Deep Learning, Naem Azam.
every training point, the parameters are instead updated only once i.e. after loss for all the training points is calculated. Algorithm for batch gradient descent Let hθ(x) be the hypothesis for linear regression. Then, the cost function is given by: Let Σ represents the sum of all training