Computadoras y Tecnología , Informática , IA y Aprendizaje Automático , Procesamiento de Lenguajes Naturales
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Deep Learning With R (en Inglés)
J. J. Chollet Francois/ Allaire (Autor)
·
MANNING PUBN
· Tapa Blanda
Deep Learning With R (en Inglés) - J. J. Chollet Francois/ Allaire
Computadoras y tecnología , informática , ia y aprendizaje automático , procesamiento de lenguajes naturales
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Origen: Estados Unidos
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Reseña del libro "Deep Learning With R (en Inglés)"
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 principlesSetting up your own deep-learning environmentImage classification and generationDeep learning for text and sequences About the Reader You'll need intermediate R programming skills. No previous experience with machine learning or deep learning is assumed. About the Authors François Chollet is a deep-learning researcher at Google and the author of the Keras library. J.J. Allaire is the founder of RStudio and the author of the R interfaces to TensorFlow and Keras. Table of Contents PART 1 - FUNDAMENTALS OF DEEP LEARNINGWhat is deep learning?Before we begin: the mathematical building blocks of neural networksGetting started with neural networksFundamentals of machine learningPART 2 - DEEP LEARNING IN PRACTICEDeep learning for computer visionDeep learning for text and sequencesAdvanced deep-learning best practicesGenerative deep learningConclusions
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