Author(s)

Kazuyuki Fujii^*

International College of Arts and Sciences, Yokohama City University, Yokohama, Japan.

We elucidate a practical method in Deep Learning called the minibatch which is very useful to avoid local minima. The mathematical structure of this method is, however, a bit obscure. We emphasize that a certain condition, which is not explicitly stated in ordinary expositions, is essential for the minibatch method. We present a comprehensive description Deep Learning for non-experts with the mathematical reinforcement.

Deep Learning, Minibatch, Error (Loss) Function, Local Minima

Fujii, K. (2018) Mathematical Reinforcement to the Minibatch of Deep Learning. Advances in Pure Mathematics, 8, 307-320. doi: 10.4236/apm.2018.83016.