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Neural Networks: A Practical Guide For Understanding And Programming Neural Networks And Useful Insights For Inspiring Reinvention
Steven Cooper
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• Author(s): Steven Cooper • Publisher: Data Science • Publisher Imprint: Data Science • BISAC: Computer ScienceCurious About Neural Networks?If you're looking to become familiar with the basics of a neural network, then you have found a resource...
View full detailsNeural Networks: A Practical Guide For Understanding And Programming Neural Networks And Useful Insights For Inspiring Reinvention
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View full detailsConvergence Analysis of Recurrent Neural Networks
Zhang Yi
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• Author(s): Zhang Yi • Publisher: Springer • Publisher Imprint: Springer • BISAC: Data Science - Neural NetworksSince the outstanding and pioneering research work of Hopfield on recurrent neural networks (RNNs) in the early 80s of the last centu...
View full detailsComplex-Valued Neural Networks
Akira Hirose
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• Author(s): Akira Hirose • Publisher: Springer • Publisher Imprint: Springer • BISAC: Data Science - Neural NetworksFrom the Back CoverThis book is the first monograph ever on complex-valued neural networks, which lends itself to graduate and un...
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Anurag Bhardwa
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• Author(s): Anurag Bhardwa • Publisher: Packt Publishing • Publisher Imprint: Packt Publishing • BISAC: Data Science - Neural Networks
Self-Adaptive Systems For Machine Intelligence
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Dennis Mullis
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• Author(s): Dennis Mullis • Publisher: Independently Published • Publisher Imprint: Independently Published • BISAC: Data Science - Neural Networks
Artificial Neural Networks with Java: Tools for Building Neural Network Applications
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• Author(s): Igor Livshin • Publisher: Springer Verlag • Publisher Imprint: Springer • Subject: Computer Science and Information Technology • BISAC: Artificial Intelligence - GeneralDevelop neural network applications using the Java environment. ...
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Steven Cooper
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• Author(s): Steven Cooper • Publisher: Data Science • Publisher Imprint: Data Science • BISAC: Machine TheoryIf you're looking for a way to become an expert in machine learning, then keep reading...Machine learning is an incredibly dense topic. ...
View full detailsIntelligent Techniques for Data Science
Rajendra Akerkar, Priti Srinivas Sajja
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• Author(s): Rajendra Akerkar | Priti Srinivas Sajja • Publisher: Springer Verlag • Publisher Imprint: Springer • Subject: Computer Science and Information Technology • BISAC: Data Science - Data AnalyticsFrom the Back CoverThis textbook provides...
View full detailsOptimization Techniques
Leondes, Cornelius T.
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View full detailsThe Application of Neural Networks in the Earth System Sciences: Neural Networks Emulations for Complex Multidimensional Mappings
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• Author(s): Vladimir M. Krasnopolsky • Publisher: Springer • Publisher Imprint: Springer • BISAC: Earth Sciences - Meteorology & ClimatologyFrom the Back CoverThis book brings together a representative set of Earth System Science (ESS) appli...
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Bernadette Bouchon-Meunier, Christophe Marsala, Maria Rifqi
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View full detailsInformation Processing By Biochemical Systems: Neural Network-type Configurations
Orna Filo, Noah Lotan
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View full detailsNetwork Models in Finance: Expanding the Tools for Portfolio and Risk Management
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View full detailsGenerative Adversarial Networks Cookbook
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View full detailsThe Neural Dictionary: Pocket Guide to AI & Data Science Mastery
Ravindra Kumar Nayak
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Mathematical Analysis for Machine Learning and Data Mining
Simovici, Dan A.
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View full detailsSelf-Organizing Maps
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• Author(s): Teuvo Kohonen • Publisher: Springer • Publisher Imprint: Springer • BISAC: Data Science - Neural NetworksFrom the Back CoverThe Self-Organizing Map (SOM), with its variants, is the most popular artificial neural network algorithm in ...
View full detailsHands-On Generative Adversarial Networks with PyTorch 1.x
John Hany, Greg Walters
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View full detailsDeep Learning for Beginners: A comprehensive introduction of deep learning fundamentals for beginners to understanding frameworks, neural networks,
Steven Cooper
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• Author(s): Steven Cooper • Publisher: Data Science • Publisher Imprint: Data Science • BISAC: Computer ScienceIf you are looking for a complete beginners guide to learn deep learning with examples, in just a few hours, then you need to continue...
View full detailsArtificial Neural Networks: Methodological Advances and Biomedical Applications
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View full detailsDeep Learning: An Essential Guide to Deep Learning for Beginners Who Want to Understand How Deep Neural Networks Work and Relate to M
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View full detailsNeural Networks: Methodology and Applications
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View full detailsMachine Learning: The Ultimate Beginners Guide to Learn Machine Learning, Artificial Intelligence & Neural Networks Step-By-Step
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• Author(s): Mark Reed • Publisher: Publishing Factory LLC • Publisher Imprint: Publishing Factory LLC • BISAC: Data Science - Machine LearningDo you know enough about your computer and the machine learning it employs?Do you know why adverts pop ...
View full detailsMachine Learning for Knowledge Discovery with R: Methodologies for Modeling, Inference and Prediction
Kao-Tai Tsai
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• Author(s): Kao-Tai Tsai • Publisher: Taylor & Francis • Publisher Imprint: CRC Press • BISAC: StatisticsMachine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction...
View full detailsLinear Algebra in Data Science
Peter Zizler
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• Author(s): Peter Zizler • Publisher: Springer Verlag • Publisher Imprint: Birkhauser • Subject: Mathematics and Statistics • BISAC: Algebra - LinearThis textbook explores applications of linear algebra in data science at an introductory level, ...
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