Books on the topic 'Convolutional recurrent neural networks'
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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, and Ajith Abraham. Recurrent Neural Networks. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003307822.
Hu, Xiaolin, and P. Balasubramaniam. Recurrent neural networks. Rijek, Crotia: InTech, 2008.
Mou, Lili, and 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, and 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, and 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, and 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, and Mohamed Mysara. Recurrent neural networks and soft computing. Rijeka: InTech, 2012.
R, Medsker L., and Jain L. C, eds. 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, and 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., and Kremer Stefan C. 1968-, eds. A field guide to dynamical recurrent networks. New York: IEEE Press, 2001.
Khan, Salman, Hossein Rahmani, Syed Afaq Ali Shah, and 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., and 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, and 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, and Lin Yang, eds. 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, and Lin Yang, eds. 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., and 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, and Lakhmi C. Jain, eds. Recurrent Neural Networks. CRC Press, 1999. http://dx.doi.org/10.1201/9781420049176.
Hu, Xiaolin, and P. Balasubramaniam, eds. 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, and 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, and Amit Kumar Tyagi. Recurrent Neural Networks: Concepts and Applications. Taylor & Francis Group, 2022.
Abraham, Ajith, and Amit Kumar Tyagi. Recurrent Neural Networks: Concepts and Applications. Taylor & Francis Group, 2022.
Abraham, Ajith, and Tyagi Amit Kumar. Recurrent Neural Networks: Concepts and Applications. CRC Press LLC, 2022.
Abraham, Ajith, and Tyagi Amit Kumar. Recurrent Neural Networks: Concepts and Applications. CRC Press LLC, 2022.
ElHefnawi, Mahmoud, ed. 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., and Larry Medsker. Recurrent Neural Networks: Design and Applications. Taylor & Francis Group, 1999.
Abraham, Ajith, and Amit Kumar Tyagi. Recurrent Neural Networks: Concepts and Applications. Taylor & Francis Group, 2022.
Jain, Lakhmi C., and 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, and 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.