Java Deep Learning Projects (notice n° 70671)

détails MARC
000 -LEADER
fixed length control field 03605cam a2200277zu 4500
003 - CONTROL NUMBER IDENTIFIER
control field FRCYB88860060
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250107230546.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250108s2018 fr | o|||||0|0|||eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781788997454
035 ## - SYSTEM CONTROL NUMBER
System control number FRCYB88860060
040 ## - CATALOGING SOURCE
Original cataloging agency FR-PaCSA
Language of cataloging en
Transcribing agency
Description conventions rda
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Karim, Md. Rezaul
245 01 - TITLE STATEMENT
Title Java Deep Learning Projects
Statement of responsibility, etc. ['Karim, Md. Rezaul']
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer Packt Publishing
Date of production, publication, distribution, manufacture, or copyright notice 2018
300 ## - PHYSICAL DESCRIPTION
Extent p.
336 ## - CONTENT TYPE
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type code c
Source rdamdedia
338 ## - CARRIER TYPE
Carrier type code c
Source rdacarrier
520 ## - SUMMARY, ETC.
Summary, etc. Build and deploy powerful neural network models using the latest Java deep learning librariesAbout This BookUnderstand DL with Java by implementing real-world projectsMaster implementations of various ANN models and build your own DL systemsDevelop applications using NLP, image classification, RL, and GPU processingWho This Book Is ForIf 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.What You Will LearnMaster deep learning and neural network architecturesBuild real-life applications covering image classification, object detection, online trading, transfer learning, and multimedia analytics using DL4J and open-source APIsTrain ML agents to learn from data using deep reinforcement learningUse factorization machines for advanced movie recommendationsTrain DL models on distributed GPUs for faster deep learning with Spark and DL4JEase your learning experience through 69 FAQsIn DetailJava 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.Style and approachA unique, learn-as-you-do approach, as the reader builds on his understanding of deep learning with Java progressively with each project. This book is designed in such a way that implementing each project will empower you with a unique skill set, and enable you to implement the next project more confidently.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Karim, Md. Rezaul
856 40 - ELECTRONIC LOCATION AND ACCESS
Access method Cyberlibris
Uniform Resource Identifier <a href="https://international.scholarvox.com/netsen/book/88860060">https://international.scholarvox.com/netsen/book/88860060</a>
Electronic format type text/html
Host name

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