Angebote zu "Convolutional" (7 Treffer)

Introduction to Convolutional Codes with Applic...
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Introduction to Convolutional Codes with Applications:The Springer International Series in Engineering and Computer Science. Softcover reprint of the original 1st ed. 1994 Ajay Dholakia

Anbieter: Hugendubel.de
Stand: Nov 21, 2018
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Introduction to Convolutional Codes with Applic...
€ 110.49 *
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(€ 110.49 / in stock)

Introduction to Convolutional Codes with Applications: Ajay Dholakia

Anbieter: Hugendubel.de
Stand: Nov 3, 2018
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Decoding of Block and Convolutional Codes in Ra...
€ 48.80 *
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Decoding of Block and Convolutional Codes in Rank Metric:Berichte aus der Informationstechnik Antonia Wachter-Zeh

Anbieter: Hugendubel.de
Stand: Nov 21, 2018
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Wachter-Zeh, Antonia: Decoding of Block and Con...
€ 48.80 *
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Erscheinungsdatum: 27.02.2014Medium: TaschenbuchEinband: Kartoniert / BroschiertTitel: Decoding of Block and Convolutional Codes in Rank MetricAutor: Wachter-Zeh, AntoniaVerlag: Shaker VerlagSprache: EnglischRubrik: Elektronik // Elektrotechnik, Na

Anbieter: RAKUTEN: Ihr Mark...
Stand: Nov 9, 2018
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Information Theory, Inference and Learning Algo...
€ 47.99 *
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Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.

Anbieter: buecher.de
Stand: Nov 12, 2018
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Hands-On Machine Learning with Scikit-Learn and...
€ 41.95 *
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Graphics in this book are printed in black and white.Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks?scikit-learn and TensorFlow?author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You´ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you´ve learned, all you need is programming experience to get started.Explore the machine learning landscape, particularly neural netsUse scikit-learn to track an example machine-learning project end-to-endExplore several training models, including support vector machines, decision trees, random forests, and ensemble methodsUse the TensorFlow library to build and train neural netsDive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learningLearn techniques for training and scaling deep neural netsApply practical code examples without acquiring excessive machine learning theory or algorithm details

Anbieter: buecher.de
Stand: Nov 8, 2018
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Hands-On Machine Learning with Scikit-Learn and...
€ 43.95 *
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Graphics in this book are printed in black and white.Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworksscikit-learn and TensorFlowauthor Aurlien Gron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. Youll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what youve learned, all you need is programming experience to get started.Explore the machine learning landscape, particularly neural netsUse scikit-learn to track an example machine-learning project end-to-endExplore several training models, including support vector machines, decision trees, random forests, and ensemble methodsUse the TensorFlow library to build and train neural netsDive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learningLearn techniques for training and scaling deep neural netsApply practical code examples without acquiring excessive machine learning theory or algorithm details

Anbieter: buecher.de
Stand: Oct 28, 2018
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