{"updated":"2025-01-19T07:33:29.468697+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00088193","sets":["1164:4619:6988:6990"]},"path":["6990"],"owner":"11","recid":"88193","title":["ディープラーニング"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-01-16"},"_buckets":{"deposit":"24a43d57-cc0a-42ae-85a8-375c329d8df7"},"_deposit":{"id":"88193","pid":{"type":"depid","value":"88193","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"ディープラーニング","author_link":["666218","666219"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ディープラーニング"}]},"item_type_id":"4","publish_date":"2013-01-16","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東北大学"},{"subitem_text_value":"東北大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Tohoku University","subitem_text_language":"en"},{"subitem_text_value":"Tohoku University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/88193/files/IPSJ-CVIM13185018.pdf","label":"IPSJ-CVIM13185018"},"date":[{"dateType":"Available","dateValue":"2015-01-16"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-CVIM13185018.pdf","filesize":[{"value":"759.3 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"20"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"61f3981b-1bb9-482d-a3d1-563b221b3db3","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2013 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"岡谷貴之"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"齋藤真樹"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11131797","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"ディープラーニングは，多層のニューラルネットワーク（以下NN）を用いる機械学習の方法論である．最近，これに基づく方法群が，画像認識のベンチマークテストで従来の記録を次々に塗り替えた他，音声認識やその他の学習・認識の問題に応用されて同様に高い性能を示すに至り，幅広い関心を集めつつある．本稿では，このディープラーニングについて，画像認識への応用を念頭に，現時点で知られている様々な方法をなるべく網羅的に説明する．具体的には，NNの基本構成から，Convolutional NN，プーリング，局所コントラスト正規化，教師なし学習であるプレトレーニング，オートエンコーダ，スパースな特徴表現を可能にする複数の方法，Restricted Boltzmann MachineやDeep Belief Networkなどの生成モデルに基づくディープラーニングの各手法を，それぞれ説明する．またディープラーニングのためのソフトウェアライブラリにも触れる．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"17","bibliographic_titles":[{"bibliographic_title":"研究報告コンピュータビジョンとイメージメディア（CVIM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2013-01-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"18","bibliographicVolumeNumber":"2013-CVIM-185"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-18T23:38:38.226227+00:00","id":88193,"links":{}}