"Recurrent Neural Networks for Temporal Data Processing"

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Book	Author(s)	Year	Publisher
Recurrent Neural Networks for Temporal Data Processing	Hubert Cardot and Romuald Boné	2011-02-09	BoD – Books on Demand
Recurrent Neural Networks	Amit Kumar Tyagi; Ajith Abraham	2022	Routledge
Recurrent Neural Networks
Computational neural networks for geophysical data processing	Mary M. Poulton	2001	Pergamon
Computational Neural Networks for Geophysical Data Processing	Poulton M.M.	2001
Learning with Recurrent Neural Networks	Barbara Hammer	2000	Springer London
Convergence Analysis of Recurrent Neural Networks	Zhang Yi	2004	Springer US
Neural Networks for Natural Language Processing	Sumathi S., Janani M	2019	Engineering Science Reference
Applied neural networks for signal processing /	Luo, Fa-Long.; Unbehauen, Rolf.	1997.	Cambridge University Press,
Neural networks for intelligent signal processing /	Zaknich, Anthony.	[2003], ©2003.	World Scientific,
Photonic Reservoir Computing: Optical Recurrent Neural Networks	Daniel Brunner; Miguel C. Soriano; Guy Van der Sande	2019	De Gruyter
Supervised Sequence Labelling with Recurrent Neural Networks	Alex Graves	2012	Springer Berlin Heidelberg
Recurrent Neural Networks for Prediction - Learning Algorithms, Architectures and Stability	Danilo P. Mandic	2001	John Wiley & Sons
Recurrent Neural Networks: From Simple to Gated Architectures	Fathi M. Salem	1st ed. 2022	Springer International Publishing
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 for vision and image processing	Gail A. Carpenter; Stephen Grossberg	1992	MIT Press
Neural networks for signal and information processing	Hui-Huang Hsu	1994
Neural Networks and Speech Processing	David P. Morgan; Christopher L. Scofield	1991	Springer US
Space-Time Computing with Temporal Neural Networks	James E. Smith		Springer International Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Recurrent Neural Networks for Temporal Data Processing Preface		Recurrent Neural Networks for Temporal Data Processing	Hubert Cardot and Romuald Boné	2011-02-09	BoD – Books on Demand
Temporal Recurrent Neural Networks		Encyclopedia of Computational Neuroscience	Dieter Jaeger; Ranu Jung	2015	Springer New York
Temporal Recurrent Neural Networks		Encyclopedia of Computational Neuroscience	Dieter Jäger; Ranu Jung	2nd ed. 2022	Springer New York
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
RECURRENT NETWORKS AND TEMPORAL PATTERN PROCESSING	Michael C. Mozer; Paul Smolensky; David S. Touretzky; Jeffrey L. Elman; Andreas S. Weigend	Proceedings of the 1993 Connectionist Models Summer School	Michael C. Mozer; Paul Smolensky; David S. Touretzky; Jeffrey L. Elman; Andreas S. Weigend	1994	Routledge
Recurrent networks and temporal pattern processing		Proceedings of the 1993 Connectionist Models Summer School /	Mozer, Michael C.	1994.	L. Erlbaum Associates,
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
Recurrent Neural Networks for Time Series Data	Ryan G. McClarren	Machine Learning for Engineers: Using data to solve problems for physical systems	Ryan G. McClarren	1st ed. 2021	Springer International Publishing
Loading Sequence Data for Recurrent Neural Networks		Deep Learning: DL4J and Beyond	Adam Gibson; Josh Patterson	2015	O'Reilly Media
Neural networks for processing data structures	Alessandro Sperduti	Adaptive Processing of Sequences and Data Structures: International Summer School on Neural Networks, " E. R. Caianiello" , Vietri sul Mare, Salerno, Italy, September 6-13, 1997, Tutorial Lectures	C. Lee Giles; Marco Gori	1998	Springer Berlin Heidelberg
Dynamical Recurrent Networks for Sequential Data Processing	Stefan C. Kremer; John F. Kolen	Hybrid Neural Systems	Stefan Wermter; Ron Sun	2000	Springer Berlin Heidelberg
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
Recurrent neural networks	Hava T. Siegelmann	Computer Science Today: Recent Trends and Developments	Jan Leeuwen	1995	Springer Berlin Heidelberg
Recurrent Neural Networks	Ashwin Pajankar; Aditya Joshi	Hands-on Machine Learning with Python: Implement Neural Network Solutions with Scikit-learn and PyTorch	Ashwin Pajankar; Aditya Joshi	1st ed.	Apress
Recurrent neural networks	Avraam Tsantekidis; Nikolaos Passalis; Anastasios Tefas	Deep Learning for Robot Perception and Cognition	Alexandros Iosifidis and Anastasios Tefas	2022	Academic Press
Recurrent Neural Networks		Learning Deep Learning: Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow	Magnus Ekman	2021	Addison-Wesley Professional
Recurrent Neural Networks		Advanced Decision Sciences Based on Deep Learning and Ensemble Learning Algorithms	S/ Sumathi$ Suresh Rajappa	2021	Nova Science Publishers
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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