Gradient Descent, Machine Learning, Neural Networks, Optimization, Linear Regression.
Descent Batch gradient descent, also known as vanilla gradient descent, computes the gradient using the entire training dataset at each iteration. It calculates the average of the gradients for all training examples before updating the model’s parameters. Batch gradient descent ensures stability