Gradient Descent Optimization
Gradient Descent is an optimization algorithm commonly used in machine learning and deep learning to minimize the loss function and find the optimal parameters (weights and biases) of a model. It’s based on the principle of iteratively moving in the direction of the steepest descent of the loss function with respect to the model parameters.…