Libri sul tema "Convolutional recurrent neural networks"
Cita una fonte nei formati APA, MLA, Chicago, Harvard e in molti altri stili
Vedi i top-50 libri per l'attività di ricerca sul tema "Convolutional recurrent neural networks".
Accanto a ogni fonte nell'elenco di riferimenti c'è un pulsante "Aggiungi alla bibliografia". Premilo e genereremo automaticamente la citazione bibliografica dell'opera scelta nello stile citazionale di cui hai bisogno: APA, MLA, Harvard, Chicago, Vancouver ecc.
Puoi anche scaricare il testo completo della pubblicazione scientifica nel formato .pdf e leggere online l'abstract (il sommario) dell'opera se è presente nei metadati.
Vedi i libri di molte aree scientifiche e compila una bibliografia corretta.
Salem, Fathi M. Recurrent Neural Networks. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89929-5.
Tyagi, Amit Kumar, e Ajith Abraham. Recurrent Neural Networks. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003307822.
Hu, Xiaolin, e P. Balasubramaniam. Recurrent neural networks. Rijek, Crotia: InTech, 2008.
Mou, Lili, e Zhi Jin. Tree-Based Convolutional Neural Networks. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1870-2.
Milosevic, Nemanja. Introduction to Convolutional Neural Networks. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-5648-0.
Habibi Aghdam, Hamed, e Elnaz Jahani Heravi. Guide to Convolutional Neural Networks. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57550-6.
Venkatesan, Ragav, e Baoxin Li. Convolutional Neural Networks in Visual Computing. Boca Raton ; London : Taylor & Francis, CRC Press, 2017.: CRC Press, 2017. http://dx.doi.org/10.4324/9781315154282.
Teoh, Teik Toe. Convolutional Neural Networks for Medical Applications. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-8814-1.
Hammer, Barbara. Learning with recurrent neural networks. London: Springer London, 2000. http://dx.doi.org/10.1007/bfb0110016.
Koonce, Brett. Convolutional Neural Networks with Swift for Tensorflow. Berkeley, CA: Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6168-2.
Yi, Zhang, e K. K. Tan. Convergence Analysis of Recurrent Neural Networks. Boston, MA: Springer US, 2004. http://dx.doi.org/10.1007/978-1-4757-3819-3.
ElHevnawi, Mahmoud, e Mohamed Mysara. Recurrent neural networks and soft computing. Rijeka: InTech, 2012.
R, Medsker L., e Jain L. C, a cura di. Recurrent neural networks: Design and applications. Boca Raton, Fla: CRC Press, 2000.
Yi, Zhang. Convergence analysis of recurrent neural networks. Boston: Kluwer Academic Publishers, 2004.
Ozturk, Saban. Convolutional Neural Networks for Medical Image Processing Applications. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003215141.
Naved, Mohd, V. Ajantha Devi, Loveleen Gaur e Ahmed A. Elngar. IoT-enabled Convolutional Neural Networks: Techniques and Applications. New York: River Publishers, 2023. http://dx.doi.org/10.1201/9781003393030.
Graves, Alex. Supervised Sequence Labelling with Recurrent Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24797-2.
Graves, Alex. Supervised Sequence Labelling with Recurrent Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
1965-, Kolen John F., e Kremer Stefan C. 1968-, a cura di. A field guide to dynamical recurrent networks. New York: IEEE Press, 2001.
Khan, Salman, Hossein Rahmani, Syed Afaq Ali Shah e Mohammed Bennamoun. A Guide to Convolutional Neural Networks for Computer Vision. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-031-01821-3.
Rovithakis, George A., e Manolis A. Christodoulou. Adaptive Control with Recurrent High-order Neural Networks. London: Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0785-9.
Bianchi, Filippo Maria, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi e Robert Jenssen. Recurrent Neural Networks for Short-Term Load Forecasting. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70338-1.
Chen, Wen. Recurrent neural networks applied to robotic motion control. Ottawa: National Library of Canada, 2002.
Michel, Anthony N. Qualitative analysis and synthesis of recurrent neural networks. New York: Marcel Dekker, Inc., 2002.
Lu, Le, Yefeng Zheng, Gustavo Carneiro e Lin Yang, a cura di. Deep Learning and Convolutional Neural Networks for Medical Image Computing. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-42999-1.
Kuan, Chung-Ming. Forecasting exchange rates using feedforward and recurrent neural networks. Champaign: University of Illinois at Urbana-Champaign, 1993.
Kuan, Chung-Ming. Forecasting exchange rates using feedforward and recurrent neural networks. [Urbana, Ill.]: College of Commerce and Business Administration, University of Illinois at Urbana-Champaign, 1992.
Lu, Le, Xiaosong Wang, Gustavo Carneiro e Lin Yang, a cura di. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13969-8.
Rovithakis, George A. Adaptive control with recurrent high-order neural networks: Theory and industrial applications. London: Springer, 2000.
Sangeetha, V., e S. Kevin Andrews. Introduction to Artificial Intelligence and Neural Networks. Magestic Technology Solutions (P) Ltd, Chennai, Tamil Nadu, India, 2023. http://dx.doi.org/10.47716/mts/978-93-92090-24-0.
S, Ranjith M. Hunting Convolutional Neural Networks. Independently Published, 2019.
Medsker, Larry, e Lakhmi C. Jain, a cura di. Recurrent Neural Networks. CRC Press, 1999. http://dx.doi.org/10.1201/9781420049176.
Hu, Xiaolin, e P. Balasubramaniam, a cura di. Recurrent Neural Networks. InTech, 2008. http://dx.doi.org/10.5772/68.
Munir. Accelerators for Convolutional Neural Networks. Wiley & Sons, Limited, John, 2023.
Teoh, Teik Toe. Convolutional Neural Networks for Medical Applications. Springer, 2023.
Mandic, Danilo, e Jonathan Chambers. Recurrent Neural Networks for Prediction. Wiley & Sons, Incorporated, John, 2003.
Hammer, Barbara. Learning with Recurrent Neural Networks. Springer, 2000.
Hammer, Barbara. Learning with Recurrent Neural Networks. Springer London, Limited, 2007.
Abraham, Ajith, e Amit Kumar Tyagi. Recurrent Neural Networks: Concepts and Applications. Taylor & Francis Group, 2022.
Abraham, Ajith, e Amit Kumar Tyagi. Recurrent Neural Networks: Concepts and Applications. Taylor & Francis Group, 2022.
Abraham, Ajith, e Tyagi Amit Kumar. Recurrent Neural Networks: Concepts and Applications. CRC Press LLC, 2022.
Abraham, Ajith, e Tyagi Amit Kumar. Recurrent Neural Networks: Concepts and Applications. CRC Press LLC, 2022.
ElHefnawi, Mahmoud, a cura di. Recurrent Neural Networks and Soft Computing. InTech, 2012. http://dx.doi.org/10.5772/2296.
Yi, Zhang. Convergence Analysis of Recurrent Neural Networks. Springer, 2013.
Jain, Lakhmi C., e Larry Medsker. Recurrent Neural Networks: Design and Applications. Taylor & Francis Group, 1999.
Abraham, Ajith, e Amit Kumar Tyagi. Recurrent Neural Networks: Concepts and Applications. Taylor & Francis Group, 2022.
Jain, Lakhmi C., e Larry Medsker. Recurrent Neural Networks: Design and Applications. Taylor & Francis Group, 1999.
Yi, Zhang Zhang. Convergence Analysis of Recurrent Neural Networks. Springer London, Limited, 2013.
Medioni, Gerard, Salman Khan, Mohammed Bennamoun, Hossein Rahmani e Syed Afaq Ali. Guide to Convolutional Neural Networks for Computer Vision. Morgan & Claypool Publishers, 2018.
Ozturk, Saban. Convolutional Neural Networks for Medical Image Processing Applications. Taylor & Francis Group, 2022.