Deep Learning Practical Neural Networks with Java

Deep Learning  Practical Neural Networks with Java
Author: Yusuke Sugomori,Bostjan Kaluza,Fabio M. Soares,Alan M. F. Souza
Publsiher: Packt Publishing Ltd
Total Pages: 744
Release: 2017-06-08
ISBN: 1788471717
Category: Computers
Language: EN, FR, DE, ES & NL

Deep Learning Practical Neural Networks with Java Book Excerpt:

Build and run intelligent applications by leveraging key Java machine learning libraries About This Book Develop a sound strategy to solve predictive modelling problems using the most popular machine learning Java libraries. Explore a broad variety of data processing, machine learning, and natural language processing through diagrams, source code, and real-world applications This step-by-step guide will help you solve real-world problems and links neural network theory to their application Who This Book Is For This course is intended for data scientists and Java developers who want to dive into the exciting world of deep learning. It will get you up and running quickly and provide you with the skills you need to successfully create, customize, and deploy machine learning applications in real life. What You Will Learn Get a practical deep dive into machine learning and deep learning algorithms Explore neural networks using some of the most popular Deep Learning frameworks Dive into Deep Belief Nets and Stacked Denoising Autoencoders algorithms Apply machine learning to fraud, anomaly, and outlier detection Experiment with deep learning concepts, algorithms, and the toolbox for deep learning Select and split data sets into training, test, and validation, and explore validation strategies Apply the code generated in practical examples, including weather forecasting and pattern recognition In Detail Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognitionStarting with an introduction to basic machine learning algorithms, this course takes you further into this vital world of stunning predictive insights and remarkable machine intelligence. This course helps you solve challenging problems in image processing, speech recognition, language modeling. You will discover how to detect anomalies and fraud, and ways to perform activity recognition, image recognition, and text. You will also work with examples such as weather forecasting, disease diagnosis, customer profiling, generalization, extreme machine learning and more. By the end of this course, you will have all the knowledge you need to perform deep learning on your system with varying complexity levels, to apply them to your daily work. The course provides you with highly practical content explaining deep learning with Java, from the following Packt books: Java Deep Learning Essentials Machine Learning in Java Neural Network Programming with Java, Second Edition Style and approach This course aims to create a smooth learning path that will teach you how to effectively use deep learning with Java with other de facto components to get the most out of it. Through this comprehensive course, you'll learn the basics of predictive modelling and progress to solve real-world problems and links neural network theory to their application

Neural Network Programming with Java Second Edition

Neural Network Programming with Java   Second Edition
Author: Alan M. F. Souza,Fabio M. Soares
Publsiher: Unknown
Total Pages: 269
Release: 2017-02-28
ISBN: 9781787126053
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Neural Network Programming with Java Second Edition Book Excerpt:

Create and unleash the power of neural networks by implementing professional, clean, and clear Java codeAbout This Book* Learn to build amazing projects using neural networks including forecasting the weather and pattern recognition* Explore the Java multi-platform feature to run your personal neural networks everywhere* This step-by-step guide will help you solve real-world problems and links neural network theory to their applicationWho This Book Is ForThis book is for Java developers who want to know how to develop smarter applications using the power of neural networks. Those who deal with a lot of complex data and want to use it efficiently in their day-to-day apps will find this book quite useful. Some basic experience with statistical computations is expected.What You Will Learn* Develop an understanding of neural networks and how they can be fitted* Explore the learning process of neural networks* Build neural network applications with Java using hands-on examples* Discover the power of neural network's unsupervised learning process to extract the intrinsic knowledge hidden behind the data* Apply the code generated in practical examples, including weather forecasting and pattern recognition* Understand how to make the best choice of learning parameters to ensure you have a more effective application* Select and split data sets into training, test, and validation, and explore validation strategiesIn DetailWant to discover the current state-of-art in the field of neural networks that will let you understand and design new strategies to apply to more complex problems? This book takes you on a complete walkthrough of the process of developing basic to advanced practical examples based on neural networks with Java, giving you everything you need to stand out.You will first learn the basics of neural networks and their process of learning. We then focus on what Perceptrons are and their features. Next, you will implement self-organizing maps using practical examples. Further on, you will learn about some of the applications that are presented in this book such as weather forecasting, disease diagnosis, customer profiling, generalization, extreme machine learning, and characters recognition (OCR). Finally, you will learn methods to optimize and adapt neural networks in real time.All the examples generated in the book are provided in the form of illustrative source code, which merges object-oriented programming (OOP) concepts and neural network features to enhance your learning experience.

Java Deep Learning Projects

Java Deep Learning Projects
Author: Md. Rezaul Karim
Publsiher: Packt Publishing Ltd
Total Pages: 436
Release: 2018-06-29
ISBN: 1788996526
Category: Computers
Language: EN, FR, DE, ES & NL

Java Deep Learning Projects Book Excerpt:

Build and deploy powerful neural network models using the latest Java deep learning libraries Key Features Understand DL with Java by implementing real-world projects Master implementations of various ANN models and build your own DL systems Develop applications using NLP, image classification, RL, and GPU processing Book Description Java is one of the most widely used programming languages. With the rise of deep learning, it has become a popular choice of tool among data scientists and machine learning experts. Java Deep Learning Projects starts with an overview of deep learning concepts and then delves into advanced projects. You will see how to build several projects using different deep neural network architectures such as multilayer perceptrons, Deep Belief Networks, CNN, LSTM, and Factorization Machines. You will get acquainted with popular deep and machine learning libraries for Java such as Deeplearning4j, Spark ML, and RankSys and you’ll be able to use their features to build and deploy projects on distributed computing environments. You will then explore advanced domains such as transfer learning and deep reinforcement learning using the Java ecosystem, covering various real-world domains such as healthcare, NLP, image classification, and multimedia analytics with an easy-to-follow approach. Expert reviews and tips will follow every project to give you insights and hacks. By the end of this book, you will have stepped up your expertise when it comes to deep learning in Java, taking it beyond theory and be able to build your own advanced deep learning systems. What you will learn Master deep learning and neural network architectures Build real-life applications covering image classification, object detection, online trading, transfer learning, and multimedia analytics using DL4J and open-source APIs Train ML agents to learn from data using deep reinforcement learning Use factorization machines for advanced movie recommendations Train DL models on distributed GPUs for faster deep learning with Spark and DL4J Ease your learning experience through 69 FAQs Who this book is for If you are a data scientist, machine learning professional, or deep learning practitioner keen to expand your knowledge by delving into the practical aspects of deep learning with Java, then this book is what you need! Get ready to build advanced deep learning models to carry out complex numerical computations. Some basic understanding of machine learning concepts and a working knowledge of Java are required.

Introduction to Neural Networks with Java

Introduction to Neural Networks with Java
Author: Jeff Heaton
Publsiher: Heaton Research, Inc.
Total Pages: 440
Release: 2008
ISBN: 1604390085
Category: Computers
Language: EN, FR, DE, ES & NL

Introduction to Neural Networks with Java Book Excerpt:

Introduction to Neural Networks in Java, Second Edition, introduces the Java programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures such as the feedforward, Hopfield, and Self Organizing Map networks are discussed. Training techniques such as Backpropagation, Genetic Algorithms and Simulated Annealing are also introduced. Practical examples are given for each neural network. Examples include the Traveling Salesman problem, handwriting recognition, financial prediction, game strategy, learning mathematical functions and special application to Internet bots. All Java source code can be downloaded online.

Principles Of Artificial Neural Networks 2nd Edition

Principles Of Artificial Neural Networks  2nd Edition
Author: Graupe Daniel
Publsiher: World Scientific
Total Pages: 320
Release: 2007-04-05
ISBN: 9814475564
Category: Neural networks (Computer science)
Language: EN, FR, DE, ES & NL

Principles Of Artificial Neural Networks 2nd Edition Book Excerpt:

The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists in the industry. Covering major neural network approaches and architectures with the theories, this text presents detailed case studies for each of the approaches, accompanied with complete computer codes and the corresponding computed results. The case studies are designed to allow easy comparison of network performance to illustrate strengths and weaknesses of the different networks.

The Nonlinear Workbook

The Nonlinear Workbook
Author: Willi-Hans Steeb
Publsiher: World Scientific Publishing Company
Total Pages: 640
Release: 2002-12-30
ISBN: 9813106093
Category: Electronic Book
Language: EN, FR, DE, ES & NL

The Nonlinear Workbook Book Excerpt:

The study of nonlinear dynamical systems has advanced tremendously in the last 15 years, making a big impact on science and technology. This book provides all the techniques and methods used in nonlinear dynamics. The concepts and underlying mathematics are discussed in detail. The numerical and symbolic methods are implemented in C++, SymbolicC++ and Java. Object-oriented techniques are also applied. The book contains more than 100 ready-to-run programs. The text has also been designed for a one-year course at both the junior and senior levels in nonlinear dynamics. The topics discussed in the book are part of e-learning and distance learning courses conducted by the International School for Scientific Computing. Request Inspection Copy

Principles of Artificial Neural Networks

Principles of Artificial Neural Networks
Author: Daniel Graupe
Publsiher: World Scientific
Total Pages: 500
Release: 2013-07-31
ISBN: 9814522759
Category: Computers
Language: EN, FR, DE, ES & NL

Principles of Artificial Neural Networks Book Excerpt:

Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond. This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition — all with their respective source codes. These case studies demonstrate to the readers in detail how such case studies are designed and executed and how their specific results are obtained. The book is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining. Contents:Introduction and Role of Artificial Neural NetworksFundamentals of Biological Neural NetworksBasic Principles of ANNs and Their Early StructuresThe PerceptronThe MadalineBack PropagationHopfield NetworksCounter PropagationLarge Scale Memory Storage and Retrieval (LAMSTAR) NetworkAdaptive Resonance TheoryThe Cognitron and the NeocognitronStatistical TrainingRecurrent (Time Cycling) Back Propagation Networks Readership: Graduate and advanced senior students in artificial intelligence, pattern recognition & image analysis, neural networks, computational economics and finance, and biomedical engineering. Keywords:Neural Networks;Mathematical Derivations;Source Codes;Medical Applications;Data Mining;Cell-Shape Recognition;Micro-Trading

Encyclopedia of Information Science and Technology Second Edition

Encyclopedia of Information Science and Technology  Second Edition
Author: Khosrow-Pour, Mehdi
Publsiher: IGI Global
Total Pages: 5266
Release: 2008-10-31
ISBN: 1605660272
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Encyclopedia of Information Science and Technology Second Edition Book Excerpt:

"This set of books represents a detailed compendium of authoritative, research-based entries that define the contemporary state of knowledge on technology"--Provided by publisher.

Problems and Solutions in Scientific Computing with C and Java Simulations

Problems and Solutions in Scientific Computing with C   and Java Simulations
Author: Willi-Hans Steeb,Yorick Hardy,Alexandre Hardy,Ruedi Stoop
Publsiher: World Scientific Publishing Company
Total Pages: 432
Release: 2004-11-02
ISBN: 9813102063
Category: Mathematics
Language: EN, FR, DE, ES & NL

Problems and Solutions in Scientific Computing with C and Java Simulations Book Excerpt:

Scientific computing is a collection of tools, techniques and theories required to develop and solve mathematical models in science and engineering on a computer. This timely book provides the various skills and techniques needed in scientific computing. The topics range in difficulty from elementary to advanced, and all the latest fields in scientific computing are covered such as matrices, numerical analysis, neural networks, genetic algorithms, etc. Presented in the format of problems and detailed solutions, important concepts and techniques are introduced and developed. Many problems include software simulations. Algorithms have detailed implementations in C++ or Java. This book will prove to be invaluable not only to students and research workers in the fields of scientific computing, but also to teachers of this subject who will find this text useful as a supplement. The topics discussed in this book are part of the e-learning and distance learning courses conducted by the International School of Scientific Computing, South Africa.

Natural Language Processing with Java

Natural Language Processing with Java
Author: Richard M. Reese,AshishSingh Bhatia
Publsiher: Packt Publishing Ltd
Total Pages: 318
Release: 2018-07-31
ISBN: 1788993063
Category: Computers
Language: EN, FR, DE, ES & NL

Natural Language Processing with Java Book Excerpt:

Explore various approaches to organize and extract useful text from unstructured data using Java Key Features Use deep learning and NLP techniques in Java to discover hidden insights in text Work with popular Java libraries such as CoreNLP, OpenNLP, and Mallet Explore machine translation, identifying parts of speech, and topic modeling Book Description Natural Language Processing (NLP) allows you to take any sentence and identify patterns, special names, company names, and more. The second edition of Natural Language Processing with Java teaches you how to perform language analysis with the help of Java libraries, while constantly gaining insights from the outcomes. You’ll start by understanding how NLP and its various concepts work. Having got to grips with the basics, you’ll explore important tools and libraries in Java for NLP, such as CoreNLP, OpenNLP, Neuroph, and Mallet. You’ll then start performing NLP on different inputs and tasks, such as tokenization, model training, parts-of-speech and parsing trees. You’ll learn about statistical machine translation, summarization, dialog systems, complex searches, supervised and unsupervised NLP, and more. By the end of this book, you’ll have learned more about NLP, neural networks, and various other trained models in Java for enhancing the performance of NLP applications. What you will learn Understand basic NLP tasks and how they relate to one another Discover and use the available tokenization engines Apply search techniques to find people, as well as things, within a document Construct solutions to identify parts of speech within sentences Use parsers to extract relationships between elements of a document Identify topics in a set of documents Explore topic modeling from a document Who this book is for Natural Language Processing with Java is for you if you are a data analyst, data scientist, or machine learning engineer who wants to extract information from a language using Java. Knowledge of Java programming is needed, while a basic understanding of statistics will be useful but not mandatory.

The Nonlinear Workbook

The Nonlinear Workbook
Author: Willi-Hans Steeb
Publsiher: World Scientific
Total Pages: 642
Release: 2011
ISBN: 9814335770
Category: Science
Language: EN, FR, DE, ES & NL

The Nonlinear Workbook Book Excerpt:

The Nonlinear Workbook provides a comprehensive treatment of all the techniques in nonlinear dynamics together with C++, Java and SymbolicC++ implementations. The book not only covers the theoretical aspects of the topics but also provides the practical tools. To understand the material, more than 100 worked out examples and 150 ready to run programs are included. New topics added to the fifth edition are Langton's ant, chaotic data communication, self-controlling feedback, differential forms and optimization, T-norms and T-conorms with applications.

The Nonlinear Workbook

The Nonlinear Workbook
Author: Willi-Hans Steeb
Publsiher: World Scientific Publishing Company
Total Pages: 628
Release: 2008-06-17
ISBN: 9813107243
Category: Science
Language: EN, FR, DE, ES & NL

The Nonlinear Workbook Book Excerpt:

The study of nonlinear dynamical systems has advanced tremendously in the last 20 years, making a big impact on science and technology. This book provides all the techniques and methods used in nonlinear dynamics. The concepts and underlying mathematics are discussed in detail. The numerical and symbolic methods are implemented in C++, SymbolicC++ and Java. Object-oriented techniques are also applied. The book contains more than 150 ready-to-run programs. The text has also been designed for a one-year course at both the junior and senior levels in nonlinear dynamics. The topics discussed in the book are part of e-learning and distance learning courses conducted by the International School for Scientific Computing, University of Johannesburg.

The Nonlinear Workbook

The Nonlinear Workbook
Author: Willi-Hans Steeb
Publsiher: World Scientific Publishing Company
Total Pages: 644
Release: 2011-03-16
ISBN: 9813100702
Category: Science
Language: EN, FR, DE, ES & NL

The Nonlinear Workbook Book Excerpt:

The Nonlinear Workbook provides a comprehensive treatment of all the techniques in nonlinear dynamics together with C++, Java and SymbolicC++ implementations. The book not only covers the theoretical aspects of the topics but also provides the practical tools. To understand the material, more than 100 worked out examples and 150 ready to run programs are included. New topics added to the fifth edition are Langton's ant, chaotic data communication, self-controlling feedback, differential forms and optimization, T-norms and T-conorms with applications.

GeoComputation Second Edition

GeoComputation  Second Edition
Author: Robert J. Abrahart,Linda M. See
Publsiher: CRC Press
Total Pages: 480
Release: 2014-06-23
ISBN: 1466503289
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

GeoComputation Second Edition Book Excerpt:

A revision of Openshaw and Abrahart’s seminal work, GeoComputation, Second Edition retains influences of its originators while also providing updated, state-of-the-art information on changes in the computational environment. In keeping with the field’s development, this new edition takes a broader view and provides comprehensive coverage across the field of GeoComputation. See What’s New in the Second Edition: Coverage of ubiquitous computing, the GeoWeb, reproducible research, open access, and agent-based modelling Expanded chapter on Genetic Programming and a separate chapter developed on Evolutionary Algorithms Ten chapters updated by the same or new authors and eight new chapters added to reflect state of the art Each chapter is a stand-alone entity that covers a particular topic. You can simply dip in and out or read it from cover to cover. The opening chapter by Stan Openshaw has been preserved, with only a limited number of minor essential modifications having been enacted. This is not just a matter of respect. Openshaw’s work is eloquent, prophetic, and his overall message remains largely unchanged. In contrast to other books on this subject, GeoComputation: Second Edition supplies a state-of-the-art review of all major areas in GeoComputation with chapters written especially for this book by invited specialists. This approach helps develop and expand a computational culture, one that can exploit the ever-increasing richness of modern geographical and geospatial datasets. It also supplies an instructional guide to be kept within easy reach for regular access and when need arises.

The Nonlinear Workbook

The Nonlinear Workbook
Author: Willi-Hans Steeb
Publsiher: World Scientific Publishing Company
Total Pages: 684
Release: 2014-11-14
ISBN: 9814583499
Category: Science
Language: EN, FR, DE, ES & NL

The Nonlinear Workbook Book Excerpt:

The Nonlinear Workbook provides a comprehensive treatment of all the techniques in nonlinear dynamics together with C++, Java and SymbolicC++ implementations. The book not only covers the theoretical aspects of the topics but also provides the practical tools. To understand the material, more than 100 worked out examples and 160 ready to run programs are included. Each chapter provides a collection of interesting problems. New topics added to the 6th edition are Swarm Intelligence, Quantum Cellular Automata, Hidden Markov Model and DNA, Birkhoff's ergodic theorem and chaotic maps, Banach fixed point theorem and applications, tau-wavelets of Haar, Boolean derivatives and applications, and Cartan forms and Lagrangian. Request Inspection Copy

Distributed Sensor Networks Second Edition

Distributed Sensor Networks  Second Edition
Author: S. Sitharama Iyengar,Richard R. Brooks
Publsiher: CRC Press
Total Pages: 767
Release: 2012-09-24
ISBN: 1439862826
Category: Computers
Language: EN, FR, DE, ES & NL

Distributed Sensor Networks Second Edition Book Excerpt:

The best-selling Distributed Sensor Networks became the definitive guide to understanding this far-reaching technology. Preserving the excellence and accessibility of its predecessor, Distributed Sensor Networks, Second Edition once again provides all the fundamentals and applications in one complete, self-contained source. Ideal as a tutorial for students or as research material for engineers, the book gives readers up-to-date, practical insight on all aspects of the field. Revised and expanded, this second edition incorporates contributions from many veterans of the DARPA ISO SENSIT program as well as new material from distinguished researchers in the field. Image and Sensor Signal Processing focuses on software issues and the history and future of sensor networks. The book also covers information fusion and power management. Readers of this book may also be interested in Distributed Sensor Networks, Second Edition: Sensor Networking and Applications (ISBN: 9781439862872).

Computational Intelligence

Computational Intelligence
Author: Dinesh C.S. Bisht,Mangey Ram
Publsiher: Walter de Gruyter GmbH & Co KG
Total Pages: 280
Release: 2020-08-10
ISBN: 3110671352
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Computational Intelligence Book Excerpt:

Computational intelligence (CI) lies at the interface between engineering and computer science; control engineering, where problems are solved using computer-assisted methods. Thus, it can be regarded as an indispensable basis for all artificial intelligence (AI) activities. This book collects surveys of most recent theoretical approaches focusing on fuzzy systems, neurocomputing, and nature inspired algorithms. It also presents surveys of up-to-date research and application with special focus on fuzzy systems as well as on applications in life sciences and neuronal computing.

Embedded Software Development for Safety Critical Systems Second Edition

Embedded Software Development for Safety Critical Systems  Second Edition
Author: Chris Hobbs
Publsiher: CRC Press
Total Pages: 366
Release: 2019-08-16
ISBN: 1000497453
Category: Computers
Language: EN, FR, DE, ES & NL

Embedded Software Development for Safety Critical Systems Second Edition Book Excerpt:

This is a book about the development of dependable, embedded software. It is for systems designers, implementers, and verifiers who are experienced in general embedded software development, but who are now facing the prospect of delivering a software-based system for a safety-critical application. It is aimed at those creating a product that must satisfy one or more of the international standards relating to safety-critical applications, including IEC 61508, ISO 26262, EN 50128, EN 50657, IEC 62304, or related standards. Of the first edition, Stephen Thomas, PE, Founder and Editor of FunctionalSafetyEngineer.com said, "I highly recommend Mr. Hobbs' book."

Computer Graphics Programming in OpenGL with JAVA

Computer Graphics Programming in OpenGL with JAVA
Author: V. Scott Gordon, PhD,John L. Clevenger, PhD
Publsiher: Mercury Learning and Information
Total Pages: 406
Release: 2018-09-20
ISBN: 1683922204
Category: Computers
Language: EN, FR, DE, ES & NL

Computer Graphics Programming in OpenGL with JAVA Book Excerpt:

This new edition provides step-by-step instruction on modern 3D graphics shader programming in OpenGL, along with its theoretical foundations. It is appropriate both for computer science undergraduate graphics programming courses in degree programs that emphasize Java, and for professionals interested in mastering 3D graphics skills who prefer Java. It has been designed in a 4-color, “teach-yourself” format with numerous examples that the reader can run just as presented. New sections have been added covering soft shadows, performance optimization, Nsight debugging, as well as updated industry-standard libraries and steps for running the examples on a Macintosh. Includes companion files with all of the source code, models, textures, skyboxes and normal maps used in the book. Features: • Includes new sections on implementing soft shadows, performance optimization, and updated tools such as the JOML math library and the NVIDIA® NsightTM debugger. • Covers modern OpenGL 4.0+ shader programming in Java/JOGL, with instructions for both PC/Windows and Macintosh. • Illustrates every technique with complete running code examples. Everything needed to install the libraries and run every example is provided and fully explained. • Includes step-by-step instruction for every GLSL programmable pipeline stage (vertex, tessellation, geometry, and fragment). • Includes companion files with code, object models, figures, and more.

Encyclopedia of Information Science and Technology Third Edition

Encyclopedia of Information Science and Technology  Third Edition
Author: Khosrow-Pour, Mehdi
Publsiher: IGI Global
Total Pages: 10384
Release: 2014-07-31
ISBN: 1466658894
Category: Computers
Language: EN, FR, DE, ES & NL

Encyclopedia of Information Science and Technology Third Edition Book Excerpt:

"This 10-volume compilation of authoritative, research-based articles contributed by thousands of researchers and experts from all over the world emphasized modern issues and the presentation of potential opportunities, prospective solutions, and future directions in the field of information science and technology"--Provided by publisher.