{"created":"2025-01-19T00:56:38.801333+00:00","updated":"2025-01-20T01:05:36.241582+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00190693","sets":["1164:1579:9341:9527"]},"path":["9527"],"owner":"11","recid":"190693","title":["カーネルテンプレート化と計算再利用によるCNNの計算量削減に関する検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-07-23"},"_buckets":{"deposit":"8d23ae23-f2f5-4675-bda8-6a8390310124"},"_deposit":{"id":"190693","pid":{"type":"depid","value":"190693","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"カーネルテンプレート化と計算再利用によるCNNの計算量削減に関する検討","author_link":["437136","437135"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"カーネルテンプレート化と計算再利用によるCNNの計算量削減に関する検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"機械学習・ニューラルネットワーク","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2018-07-23","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"名古屋工業大学"},{"subitem_text_value":"名古屋工業大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Nagoya Institute of Technology","subitem_text_language":"en"},{"subitem_text_value":"Nagoya Institute of Technology","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/190693/files/IPSJ-ARC18232011.pdf","label":"IPSJ-ARC18232011.pdf"},"date":[{"dateType":"Available","dateValue":"2020-07-23"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ARC18232011.pdf","filesize":[{"value":"431.4 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":"16"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"402c1c44-320d-45dc-a07e-02edaa683a5a","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2018 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"井内, 悠太"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"津邑, 公暁"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10096105","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_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8574","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"画像認識において，Convolutional Neural Network (CNN) と呼ばれるニューラルネットワークが高い認識精度を示し広く利用されている．近年では，CNN が学習や推論に要する計算量の増大が問題となっており，この計算量を削減するための研究が盛んに行われている．しかし，計算量を削減する方法によっては，CNN の認識精度が大きく低下する場合も存在し，CNN の認識精度の低下を抑えつつ，計算量を削減する事が課題となっている．本稿では，学習のための計算量削減に向けたカーネルテンプレート化と，推論のための計算量削減に向けた計算再利用の活用について検討する．評価の結果，カーネルテンプレート化により，認識精度を損うことなく，学習させる必要のあるパラメタを大きく削減できることを確認した．また，CNN に含まれる処理において，繰り返し同じ計算が行われることを明らかにし，計算再利用が CNN 計算に対して高い親和性を持つことを確認した．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告システム・アーキテクチャ（ARC）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2018-07-23","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"11","bibliographicVolumeNumber":"2018-ARC-232"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":190693,"links":{}}