its applications to a variety of signal and information processing tasks. The application areas are chosen with the following three criteria: 1) expertise or knowledge of the authors; 2) the application areas that have already been transformed by the successful use of deep learning technology, su...
Deep Learning: Methods and Applications Li Deng, Dong Yu MSR-TR-2014-21 |May 2014 Published by Microsoft Download BibTex This book is aimed to provide an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks. The application ar...
Li DengDong Yu
FoundationsandTrendsR inSignalProcessingVol.7,Nos.3–4(2013)197–387c 2014L.DengandD.YuDOI:10.1561/2000000039DeepLearning:MethodsandApplicationsLiDengMicrosoftResearchOneMicrosoftWayRedmond,WA98052;USAdeng@microsoftDongYuMicrosoftResearchOneMicrosoftWayRedmond,WA98052;USADong.Yu@microsoftContents1Introduction1981...
Geometric deep learning methods and applications in 3D structure-based drug design How do the deep learning methods deal with 3D structure-based drug design (3D SBDD)? Our paper introduces the main breakthrough points that include 3D mole... Q Bai,T Xu,J Huang,... - 《Drug Discovery Today...
, deep learning architectures and model optimization. Subsequently, some examples are demonstrated for deep learning applications, including medical image classification, genomic sequence analysis, as well as protein structure classification and prediction. Finally, we offer our perspectives for the future ...
参考文献[1] A multimodal deep learning framework for predicting drug-drug interaction events.[2] Graph embedding on biomedical networks: methods, applications and evaluations. 代码 bitbucket.org/kaistsyst. 发布于 2020-08-22 06:08 药物研发 计算机辅助药物设计 AI技术 ...
Transfer Learning: In deep learning applications such as image classification, computer vision, audio processing, and natural language processing, the transfer learning approach is commonly used. It involves fine-tuning a pretrained deep learning model. You start with an existing model, such as Squeeze...
Knowledge augmented Deep Learning and Its Applications: A Survey原文地址: https://arxiv.org/pdf/2212.00017.pdf摘要尽管在过去几年中,深度学习技术成功在许多领域都取得了巨大成功,但它通常需要大量数据…