Machine Learning and Deep Learning: Introduction and Applications

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  • NAKASHIMA Tomoharu
    School of Knowledge and Information Systems, College of Sustainable System Sciences, Osaka Prefecture University

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  • 機械学習における深層学習：基礎と応用例
  • キカイ ガクシュウ ニ オケル シンソウ ガクシュウ : キソ ト オウヨウレイ

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Abstract

<p>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.</p>

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