図書

Excelでわかるディープラーニング超入門 RNN・DQN編

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Excelでわかるディープラーニング超入門. RNN・DQN編

Call No. (NDL)
M121-M86
Bibliographic ID of National Diet Library
029645031
Material type
図書
Author
涌井良幸, 涌井貞美 著
Publisher
技術評論社
Publication date
2019.5
Material Format
Paper
Capacity, size, etc.
223p ; 21cm
NDC
007.13
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Detailed bibliographic record

Contents：

難解といわれるRNNとDQNを理解できる!(Provided by: 国立国会図書館蔵書)

Summary, etc.：

進化発展するディープラーニング。その代表格がRNN（Recurrent Neural Network／再帰型ニューラルネットワーク）とDQN（Deep Q-Network／深層Qネットワーク）です。RNNは自然言語処理の分野で最も注目されるアルゴリズムです。またDQNは強化学習の手法で目覚ましい精度...

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Table of Contents

  • ●1章　RNN、DQNへの準備

  • ◆§1　はじめてのRNN、DQN

  • ◆§2　利用するExcel関数は10個あまり

  • ◆§3　最適化計算を不要にしてくれるExcelソルバー

  • ◆§4　データ解析には最適化が不可欠

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Paper

Material Type
図書
ISBN
978-4-297-10516-7
Title
Excelでわかるディープラーニング超入門
Title Transcription
エクセル デ ワカル ディープ ラーニング チョウニュウモン
Volume
RNN・DQN編
Author/Editor
涌井良幸, 涌井貞美 著
Author Heading
涌井, 良幸, 1950- ワクイ, ヨシユキ, 1950- ( 00141936 )Authorities
涌井, 貞美, 1952- ワクイ, サダミ, 1952- ( 00148212 )Authorities
Publication, Distribution, etc.
東京 : 技術評論社
Publication Date
2019.5
Publication Date (W3CDTF)
2019