Machine Learning, Deep Learning, Algorithms, Loss Function, Optimization.
this minimum cost. In the gradient descent algorithm, we start with random model parameters and calculate the error for each learning iteration, keep updating the model parameters to move closer to the values that results in minimum cost. repeat until minimum cost: { } In the above equation we are