Yusuke Sugomori's Books

Deep Learning: Practical Neural Networks with Java

By: Yusuke Sugomori,Bostjan Kaluza,Fabio M. Soares,Alan M. F. Souza

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Deep Learning: Practical Neural Networks with Java

By: Yusuke Sugomori,Bostjan Kaluza,Fabio M. Soares,Alan M. F. Souza

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

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744

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1788471717

ISBN 13

9781788471718

Java Deep Learning Essentials

By: Yusuke Sugomori

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Java Deep Learning Essentials

By: Yusuke Sugomori

Dive into the future of data science and learn how to build the sophisticated algorithms that are fundamental to deep learning and AI with Java About This Book Go beyond the theory and put Deep Learning into practice with Java Find out how to build a range of Deep Learning algorithms using a range of leading frameworks including DL4J, Theano and Caffe Whether you're a data scientist or Java developer, dive in and find out how to tackle Deep Learning Who This Book Is For This book is intended for data scientists and Java developers who want to dive into the exciting world of deep learning. It would also be good for machine learning users who intend to leverage deep learning in their projects, working within a big data environment. What You Will Learn Get a practical deep dive into machine learning and deep learning algorithms Implement machine learning algorithms related to deep learning Explore neural networks using some of the most popular Deep Learning frameworks Dive into Deep Belief Nets and Stacked Denoising Autoencoders algorithms Discover more deep learning algorithms with Dropout and Convolutional Neural Networks Gain an insight into the deep learning library DL4J and its practical uses Get to know device strategies to use deep learning algorithms and libraries in the real world Explore deep learning further with Theano and Caffe In Detail AI and Deep Learning are transforming the way we understand software, making computers more intelligent than we could even imagine just a decade ago. Deep Learning algorithms are being used across a broad range of industries – as the fundamental driver of AI, being able to tackle Deep Learning is going to a vital and valuable skill not only within the tech world but also for the wider global economy that depends upon knowledge and insight for growth and success. It's something that's moving beyond the realm of data science – if you're a Java developer, this book gives you a great opportunity to expand your skillset. Starting with an introduction to basic machine learning algorithms, to give you a solid foundation, Deep Learning with Java takes you further into this vital world of stunning predictive insights and remarkable machine intelligence. Once you've got to grips with the fundamental mathematical principles, you'll start exploring neural networks and identify how to tackle challenges in large networks using advanced algorithms. You will learn how to use the DL4J library and apply Deep Learning to a range of real-world use cases. Featuring further guidance and insights to help you solve challenging problems in image processing, speech recognition, language modeling, this book will make you rethink what you can do with Java, showing you how to use it for truly cutting-edge predictive insights. As a bonus, you'll also be able to get to grips with Theano and Caffe, two of the most important tools in Deep Learning today. By the end of the book, you'll be ready to tackle Deep Learning with Java. Wherever you've come from – whether you're a data scientist or Java developer – you will become a part of the Deep Learning revolution! Style and approach This is a step-by-step, practical tutorial that discusses key concepts. This book offers a hands-on approach to key algorithms to help you develop a greater understanding of deep learning. It is packed with implementations from scratch, with detailed explanation that make the concepts easy to understand and follow.

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Page Count

254

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1785283146

ISBN 13

9781785283147

Java Deep Learning Essentials

By: Yusuke Sugomori

Write a review Read reviews Take a Quiz Solve Book Puzzle

Java Deep Learning Essentials

By: Yusuke Sugomori

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N/A

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Solve jigsaw puzzle

Age

Page Count

254

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1785283146

ISBN 13

9781785283147

Deep Learning: Practical Neural Networks with Java

By: Yusuke Sugomori,Bostjan Kaluza,Fabio M. Soares,Alan M. F. Souza

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Deep Learning: Practical Neural Networks with Java

By: Yusuke Sugomori,Bostjan Kaluza,Fabio M. Soares,Alan M. F. Souza

Average ratings

N/A

Write a review

Solve jigsaw puzzle

Age

Page Count

744

Publisher

Packt Publishing Ltd

Published Date

ISBN 10

1788471717

ISBN 13

9781788471718

Book's by Yusuke Sugomori

Deep Learning: Practical Neural Networks with Java

Deep Learning: Practical Neural Networks with Java

Java Deep Learning Essentials

Java Deep Learning Essentials

Java Deep Learning Essentials

Java Deep Learning Essentials

Deep Learning: Practical Neural Networks with Java

Deep Learning: Practical Neural Networks with Java

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