Java Deep Learning Projects: Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs
bBuild and deploy powerful neural network models using the latest Java deep learning libraries/bh2About This Book/h2ulliUnderstand DL with Java by implementing real-world projects/liliMaster implementations of various ANN models and build your own DL systems/liliDevelop applications using NLP, image...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Publishing Limited
2018
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| Ausgabe: | 1 |
| Schlagworte: | |
| Zusammenfassung: | bBuild and deploy powerful neural network models using the latest Java deep learning libraries/bh2About This Book/h2ulliUnderstand DL with Java by implementing real-world projects/liliMaster implementations of various ANN models and build your own DL systems/liliDevelop applications using NLP, image classification, RL, and GPU processing/li/ulh2Who This Book Is For/h2If 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.h2What You Will Learn/h2ulliMaster deep learning and neural network architectures/liliBuild real-life applications covering image classification, object detection, online trading, transfer learning, and multimedia analytics using DL4J and open-source APIs/liliTrain ML agents to learn from data using deep reinforcement learning/liliUse factorization machines for advanced movie recommendations/liliTrain DL models on distributed GPUs for faster deep learning with Spark and DL4J/liliEase your learning experience through 69 FAQs/li/ulh2In Detail/h2Java 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. |
| Beschreibung: | 1 Online-Ressource (436 Seiten) |
| ISBN: | 9781788996525 |
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| 520 | |a Some basic understanding of machine learning concepts and a working knowledge of Java are required.h2What You Will Learn/h2ulliMaster deep learning and neural network architectures/liliBuild real-life applications covering image classification, object detection, online trading, transfer learning, and multimedia analytics using DL4J and open-source APIs/liliTrain ML agents to learn from data using deep reinforcement learning/liliUse factorization machines for advanced movie recommendations/liliTrain DL models on distributed GPUs for faster deep learning with Spark and DL4J/liliEase your learning experience through 69 FAQs/li/ulh2In Detail/h2Java 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. | ||
| 520 | |a 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. | ||
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| ctrlnum | (ZDB-5-WPSE)9781788996525436 (OCoLC)1227480963 (DE-599)BVBBV047069633 |
| edition | 1 |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:13:33Z |
| indexdate | 2024-07-10T09:01:43Z |
| institution | BVB |
| isbn | 9781788996525 |
| language | English |
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| spelling | Karim, Md. Rezaul Verfasser aut Java Deep Learning Projects Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs Karim, Md. Rezaul 1 Birmingham Packt Publishing Limited 2018 1 Online-Ressource (436 Seiten) txt rdacontent c rdamedia cr rdacarrier bBuild and deploy powerful neural network models using the latest Java deep learning libraries/bh2About This Book/h2ulliUnderstand DL with Java by implementing real-world projects/liliMaster implementations of various ANN models and build your own DL systems/liliDevelop applications using NLP, image classification, RL, and GPU processing/li/ulh2Who This Book Is For/h2If 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.h2What You Will Learn/h2ulliMaster deep learning and neural network architectures/liliBuild real-life applications covering image classification, object detection, online trading, transfer learning, and multimedia analytics using DL4J and open-source APIs/liliTrain ML agents to learn from data using deep reinforcement learning/liliUse factorization machines for advanced movie recommendations/liliTrain DL models on distributed GPUs for faster deep learning with Spark and DL4J/liliEase your learning experience through 69 FAQs/li/ulh2In Detail/h2Java 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. COMPUTERS / Neural Networks COMPUTERS / Natural Language Processing |
| spellingShingle | Karim, Md. Rezaul Java Deep Learning Projects Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs COMPUTERS / Neural Networks COMPUTERS / Natural Language Processing |
| title | Java Deep Learning Projects Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs |
| title_auth | Java Deep Learning Projects Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs |
| title_exact_search | Java Deep Learning Projects Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs |
| title_exact_search_txtP | Java Deep Learning Projects Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs |
| title_full | Java Deep Learning Projects Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs Karim, Md. Rezaul |
| title_fullStr | Java Deep Learning Projects Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs Karim, Md. Rezaul |
| title_full_unstemmed | Java Deep Learning Projects Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs Karim, Md. Rezaul |
| title_short | Java Deep Learning Projects |
| title_sort | java deep learning projects implement 10 real world deep learning applications using deeplearning4j and open source apis |
| title_sub | Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs |
| topic | COMPUTERS / Neural Networks COMPUTERS / Natural Language Processing |
| topic_facet | COMPUTERS / Neural Networks COMPUTERS / Natural Language Processing |
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