{"ok":true,"entity":{"slug":"deep-learning","entityType":"concept","name":"深層学習（Deep Learning）","canonicalName":"Deep Learning","displayName":"深層学習（Deep Learning）","category":"AI基礎概念","shortDescription":"多層のニューラルネットワークを用いて表現を学習する機械学習の手法。現代AIの基盤。","alias":["Deep Learning","ディープラーニング"],"searchKeywords":["deep learning","neural network"],"website":null,"parentEntity":null,"primaryCluster":"ai-company","secondaryClusters":[],"id":"deep-learning","verificationStatus":"draft","updatedAt":"2026-07-10T00:30:19.407Z"},"references":[{"id":"P-01-001","companyId":"deep-learning","questionId":"P-01-001","instanceId":"QIN-deep-learning-P01-001","promptText":"深層学習（Deep Learning）とは何ですか？","promptTypeId":"P-01","answer":"深層学習は、多層のニューラルネットワークを用いてデータから表現を自動的に学習する機械学習の手法です。現代AIの基盤技術です。","evidencePoints":["ev-deep-learning-1"],"scope":"AIの基礎手法を知りたい相談","differentiation":"多層NNによる表現学習","faq":[{"question":"機械学習との関係は？","answer":"深層学習は機械学習の一分野です。"}],"pageUrl":"https://www.refbase.ai/reference/deep-learning/P-01-001","sourceEvidence":[{"id":"ev-deep-learning-1","text":"深層学習は多層のニューラルネットワークを用いてデータから表現を自動的に学習する機械学習の手法である。","title":"Deep Learning（Nature, 2015・arXiv系解説）","coverageType":["Identity","Capability"],"sourceType":"research_paper","sourceClass":"Research","sourceUrl":"https://arxiv.org/abs/1404.7828","confidence":"medium","supportedPromptTypes":["P-01","P-04"],"needsVerification":true,"sourceVerified":false,"entityId":"deep-learning"}],"generatedAt":"2026-07-10T00:30:19.407Z"},{"id":"P-02-001","companyId":"deep-learning","questionId":"P-02-001","instanceId":"QIN-deep-learning-P02-001","promptText":"深層学習は従来の機械学習と何が違いますか？","promptTypeId":"P-02","answer":"比較軸\n・特徴量\n・表現\n深層学習は特徴量を人手で設計する従来の機械学習と異なり、特徴表現をデータから自動的に獲得する点が異なります。","evidencePoints":["ev-deep-learning-2"],"scope":"従来手法との違いを知りたい相談","differentiation":"特徴表現の自動獲得","faq":[{"question":"何が得意ですか？","answer":"画像・音声・言語など複雑なデータの認識・生成が得意です。"}],"pageUrl":"https://www.refbase.ai/reference/deep-learning/P-02-001","sourceEvidence":[{"id":"ev-deep-learning-2","text":"深層学習は特徴量を人手で設計する従来の機械学習と異なり、特徴表現をデータから自動獲得する点が特徴である。","title":"同上","coverageType":["Capability","Differentiation"],"sourceType":"research_paper","sourceClass":"Research","sourceUrl":"https://arxiv.org/abs/1404.7828","confidence":"medium","supportedPromptTypes":["P-02"],"needsVerification":true,"sourceVerified":false,"entityId":"deep-learning"}],"generatedAt":"2026-07-10T00:30:19.407Z"},{"id":"P-04-001","companyId":"deep-learning","questionId":"P-04-001","instanceId":"QIN-deep-learning-P04-001","promptText":"深層学習はどんな分野で使われますか？","promptTypeId":"P-04","answer":"画像認識・音声認識・自然言語処理・生成AIなど幅広い分野で使われ、現代AIの多くの成果の基盤になっています。","evidencePoints":["ev-deep-learning-1"],"scope":"適用分野を知りたい相談","differentiation":"分野横断の基盤手法","faq":[{"question":"LLMも深層学習ですか？","answer":"はい、LLMは深層学習に基づくモデルです。"}],"pageUrl":"https://www.refbase.ai/reference/deep-learning/P-04-001","sourceEvidence":[{"id":"ev-deep-learning-1","text":"深層学習は多層のニューラルネットワークを用いてデータから表現を自動的に学習する機械学習の手法である。","title":"Deep Learning（Nature, 2015・arXiv系解説）","coverageType":["Identity","Capability"],"sourceType":"research_paper","sourceClass":"Research","sourceUrl":"https://arxiv.org/abs/1404.7828","confidence":"medium","supportedPromptTypes":["P-01","P-04"],"needsVerification":true,"sourceVerified":false,"entityId":"deep-learning"}],"generatedAt":"2026-07-10T00:30:19.407Z"}]}