Machine learning and deep learning: Introduction and applications

1Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.

Abstract

Artificial Intelligence (AI) has been a popular topic in recent days not only in academia/industries but also in general public. Most of the time, they refer machine learning when AI is discussed. This paper gives introduction to machine learning. First, the overview of the machine learning is given. Then, three modes in the machine learning such as supervised learning, unsupervised learning, and reinforcement learning are described. In particular, supervised learning is explained in detail. In order to give a step-by-step introduction to the supervised learning, a linear function and a perceptron are explained and develop the discussion to three-layered neural networks. Furthermore, deep neural networks are explained as the extention to the three-layered neural networks. Finally, the application of the deep neural networks are shown with some examples.

Cite

CITATION STYLE

APA

Nakashima, T. (2020). Machine learning and deep learning: Introduction and applications. Zairyo/Journal of the Society of Materials Science, Japan, 69(9), 633–639. https://doi.org/10.2472/jsms.69.633

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free