Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks.
Descent This approach considers the entire training data (all observations) to compute the gradient. The model parameters are then updated taking the average of the gradient across data points. It’s simple, stable and guarantees convergence. However, it’s computationally expensive and memory