The gradient descent algorithm is an optimization algorithm mostly used in machine learning and deep learning. Gradient descent adjusts parameters to minimize particular functions to local minima. In linear regression, it finds weight and biases, and deep learning backward propagation uses the method. The algorithm objective is to identify model parameters like weight and bias that reduce … Continue reading Gradient Descent and its Types