Gradient Descent, Machine Learning, Neural Networks, Optimization, Linear Regression.
converge due to the noise introduced by individual samples. 3. Mini-Batch Gradient Descent: Mini-batch gradient descent is a compromise between batch gradient descent and stochastic gradient descent. It computes the gradient using a small subset, or mini-batch, of training examples. This approach