レーザー研究
Online ISSN : 1349-6603
Print ISSN : 0387-0200
ISSN-L : 0387-0200
レーザー解説
深層学習入門
中島 悠太
著者情報
ジャーナル フリー

2022 年 50 巻 12 号 p. 691-

詳細
抄録
Deep learning has replaced conventional machine learning due to its superior performance when exposed to an enormous amount of data. Researchers in many disciplines are drawn to deep learning, including physics, medicine, humanities, etc. Since we expect that readers would like to apply this popular technique in their projects on laser technologies, this paper introduces the fundamentals of deep learning with some mathematics. We also provide the first step in coding a neural network in PyTorch Lightning over Python, which comes with ready-to-go code on Google Colab, allowing novices to immediately get started.
著者関連情報
© 2022 一般社団法人 レーザー学会
前の記事
feedback
Top