Gradient Descent, Machine Learning, Neural Networks, Optimization, Linear Regression.
during training but can be computationally expensive when working with large datasets. Additionally, it may lead to slower convergence for noisy or redundant data. 2. Stochastic Gradient Descent Stochastic gradient descent (SGD) takes a different approach by updating the parameters for each