Machine Learning, Data Science, Artificial Intelligence, Data, Deep Learning.
This process is often referred to as a training epoch. Advantages of batch gradient descent are that it’s computationally efficient and produces a stable error gradient and a stable convergence. One disadvantage is that the stable error gradient can sometimes result in a state of convergence that