Machine Learning, Artificial Intelligence, Data Science, Programming, Tech.
small batch size. As we see in the result, a large batch size requires fewer cycles but has more accurate training steps. In comparison, a smaller batch size is more random but take more steps to compensate for it. A large batch size requires fewer learning steps. But, you need more memory and time