"Pt. III. Neurodynamics, Language and Memory. 11. Sequence Processing with Recurrent Neural Networks"

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Book	Author(s)	Year	Publisher
Supervised Sequence Labelling with Recurrent Neural Networks	Alex Graves	2012	Springer Berlin Heidelberg
Recurrent Neural Networks for Temporal Data Processing	Hubert Cardot and Romuald Boné	2011-02-09	BoD – Books on Demand
Learning with Recurrent Neural Networks	Barbara Hammer	2000	Springer London
Recurrent Neural Networks	Amit Kumar Tyagi; Ajith Abraham	2022	Routledge
Recurrent Neural Networks
Artificial neural networks: oscillations, chaos, and sequence processing /	Wang, Lipo.; Alkon, Daniel L.	1993.	IEEE Computer Society Press,
Neural Networks for Natural Language Processing	Sumathi S., Janani M	2019	Engineering Science Reference
Convergence Analysis of Recurrent Neural Networks	Zhang Yi	2004	Springer US
Qualitative Analysis and Synthesis of Recurrent Neural Networks	Anthony Michel; Derong Liu	2001	Routledge
Qualitative analysis and synthesis of recurrent neural networks /	Michel, Anthony N.; Liu, Derong.	[2002], ©2002.	Marcel Dekker,
Neural Networks and Speech Processing	David P. Morgan; Christopher L. Scofield	1991	Springer US
Photonic Reservoir Computing: Optical Recurrent Neural Networks	Daniel Brunner; Miguel C. Soriano; Guy Van der Sande	2019	De Gruyter
Neural networks for speech and sequence recognition /	Bengio, Yoshua.	[1996], ©1996.	International Thomson Computer Press,
Deep Learning for Natural Language Processing: Creating Neural Networks with Python	Palash Goyal; Sumit Pandey; Karan Jain	1st ed.	Apress
Forecasting exchange rates using feedforward and recurrent neural networks	Chung-Ming Kuan	1993	University of Illinois at Urbana-Champaign
Forecasting exchange rates using feedforward and recurrent neural networks	Chung-Ming Kuan	1992	College of Commerce and Business Administration, University of Illinois at Urbana-Champaign
Recurrent Neural Networks: From Simple to Gated Architectures	Fathi M. Salem	1st ed. 2022	Springer International Publishing
Cellular neural networks and image processing /	Yang, Tao,	[2002], ©2002.	Nova Science Publishers,
Adaptive Control with Recurrent High-order Neural Networks: Theory and Industrial Applications	George A. Rovithakis; Manolis A. Christodoulou	2000	Springer London
Recurrent Neural Networks for Prediction - Learning Algorithms, Architectures and Stability	Danilo P. Mandic	2001	John Wiley & Sons
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Pt. III. Neurodynamics, Language and Memory. 11. Sequence Processing with Recurrent Neural Networks	Nick Chater and Peter Conkey. 12. Learning Syntactic Categories: A Statistical Approach / Steven Finch and Nick Chater. 13. The Problem of Temporal Order in Connectionist Networks and its Implications for Short-term Memory Modelling / Dimitrios Bairaktaris.	Neurodynamics and psychology /	Oaksford, M.; Brown, G. D. A.	[1994], ©1994.	Academic Press,
Sequence Processing with Recurrent Neural Networks		Encyclopedia of Artifical Intelligence	Juan Ramon Rabunal Dopico, Juan Ramon Rabunal Dopico, Julian Dorado De La Calle, Alejandro Pazos Sierra	2008	Information Science Reference
Statistical Neurodynamics for Sequence Processing Neural Networks with Finite Dilution	Pan Zhang; Yong Chen	Advances in Neural Networks - ISNN 2007: 4th International Symposium on Neutral Networks, ISNN 2007 Nanjing, China, June 3-7, 2007. Proceedings, Part I	Derong Liu; Shumin Fei; Zeng-Guang Hou; Huaguang Zhang; Changyin Sun	2007	Springer Berlin Heidelberg
Recurrent neural networks and natural language processing		TensorFlow for machine intelligence: a hands-on introduction to learning algorithms /	Abrahams, Sam,; Hafner, Danijar,; Erwitt, Erik,; Scarpinelli, Ariel.
Natural Language Processing Using Recurrent Neural Networks	Santanu Pattanayak	Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python	Santanu Pattanayak	1st ed.	Apress
Neurodynamics and Neural Networks		Introduction to Modern Dynamics: Chaos, Networks, Space, and Time	David D. Nolte	2019	Oxford University Press
Emulating Ecological Memory with Recurrent Neural Networks	Basil Kraft; Simon Besnard; Sujan Koirala	Deep learning for the Earth Sciences - Acomprehensiive approach to remote sensing, climate science and geosciences	Gustau Camps-Valls; Devis Tuia; Xiao Xiang Zhu; Markus Reichstein	2021	John Wiley & Sons
Recurrent Neural Networks with External Memory for Spoken Language Understanding	Baolin Peng; Kaisheng Yao; Li Jing; Kam-Fai Wong	Natural Language Processing and Chinese Computing: 4th CCF Conference, NLPCC 2015, Nanchang, China, October 9-13, 2015, Proceedings	Juanzi Li; Heng Ji; Dongyan Zhao; Yansong Feng	1st ed. 2015	Springer International Publishing
6 Neurodynamics and Neural Networks		Introduction to modern dynamics: chaos, networks, space and time /	Nolte, D. D.,		OUP Oxford
Separation of Memory and Processing in Dual Recurrent Neural Networks	Christian Oliva; Luis F. Lago-Fernández	Artificial Neural Networks and Machine Learning – ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part IV	Igor Farkaš; Paolo Masulli; Sebastian Otte; Stefan Wermter	1st ed. 2021	Springer International Publishing
Recurrent Neural Networks for Sequential Processing	Lyndon White; Roberto Togneri; Wei Liu; Mohammed Bennamoun	Neural Representations of Natural Language	Lyndon White; Roberto Togneri; Wei Liu; Mohammed Bennamoun	1st ed. 2019	Springer Nature Singapore
Chapter 7 Recurrent Neural Networks for Natural Language Processing		AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence	Laurence Moroney	2020	O'Reilly Media
Modeling with Recurrent Neural Networks		Natural Language Processing with TensorFlow: Teach Language to Machines Using Python's Deep Learning Library	Thushan Ganegedara	2018	Packt Publishing
Modeling with Recurrent Neural Networks		Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library	Thushan Ganegedara	2018	Packt Publishing
Recurrent Neural Networks with Delays	J. Guignot; P. Gallinari	ICANN ’94: Proceedings of the International Conference on Artificial Neural Networks Sorrento, Italy, 26–29 May 1994 Volume 1, Parts 1 and 2	Maria Marinaro; Pietro G. Morasso	1994	Springer London
Natural Language Processing with Subsymbolic Neural Networks	Risto Miikkulainen	Neural Network Perspectives on Cognition and Adaptive Robotics	A Browne	1997	Routledge
Recurrent Neural Networks	Sajid A. Marhon; Christopher J. F. Cameron; Stefan C. Kremer	Handbook on Neural Information Processing	Monica Bianchini; Marco Maggini; Lakhmi C. Jain	2013	Springer Berlin Heidelberg
Recurrent Neural Networks	Nikhil Ketkar	Deep Learning with Python: A Hands-on Introduction	Nikhil Ketkar	1st ed.	Apress
Recurrent Neural Networks	Shriram K. Vasudevan; Sini Raj Pulari; Subashri Vasudevan	Deep Learning: A Comprehensive Guide	Shriram K Vasudevan; Sini Raj Pulari; Subashri Vasudevan	2021	Routledge
Recurrent Neural Networks	Ke-Lin Du; M. N. S. Swamy	Neural Networks and Statistical Learning	Ke-Lin Du; M. N. S. Swamy	2014	Springer London
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