Artificial Intelligence İn Practice: How 50 Successful Companies Used Aı And Machine Learning To Solve Problems Bernard Marr

Artificial Intelligence İn Practice: How 50 Successful Companies Used Aı And Machine Learning To Solve Problems Bernard Marr

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Artificial Intelligence İn Practice: How 50 Successful Companies Used Aı And Machine Learning To Solve Problems Bernard Marr

Artificial Intelligence İn Practice: How 50 Successful Companies Used Aı And Machine Learning To Solve Problems Bernard Marr

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Summary Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. The book builds your understanding of deep learning through intuitive explanations and practical examples. Continue your journey into the world of deep learning with Deep Learning with R in Motion, a practical, hands-on video course available exclusively at Manning.com (www.manning.com/livevideo/deep-​learning-with-r-in-motion). Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Machine learning has made remarkable progress in recent years. Deep-learning systems now enable previously impossible smart applications, revolutionizing image recognition and natural-language processing, and identifying complex patterns in data. The Keras deep-learning library provides data scientists and developers working in R a state-of-the-art toolset for tackling deep-learning tasks. About the Book Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language interface. Initially written for Python as Deep Learning with Python by Keras creator and Google AI researcher François Chollet and adapted for R by RStudio founder J. J. Allaire, this book builds your understanding of deep learning through intuitive explanations and practical examples. You'll practice your new skills with R-based applications in computer vision, natural-language processing, and generative models. What's Inside Deep learning from first principles Setting up your own deep-learning environment Image classification and generation Deep learning for text and sequences Core Java, Vol. II covers advanced user-interface programming and the enterprise features of the Java SE 9 platform. It carefully explains the most important language and library features and shows how to build real-world applications with thoroughly tested examples. The example programs have been carefully crafted to be easy to understand as well as useful in practice, so you can rely on them as the starting point for your own code. All of the code examples have been rewritten to reflect modern Java best practices and code style. The critical new features introduced with Java SE 9 are all thoroughly explored with the depth and completeness that readers expect from this title. As in previous editions, all code is easy to understand and displays modern best-practice solutions to the real-world challenges faced by professional developers. All code examples are updated to reflect Java 9 enhancements. Complete descriptions of new language and platform features are highlighted and integrated with insightful explanations of modern Java programming techniques. You’ll learn all you need to build robust production software with streams, files, and regular expressions.

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