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Book : Deep Learning with R - Chollet, Francois - Allaire...

Modelo 1729554X
Fabricante o sello Manning Publications
Peso 0.63 Kg.
Precio:   $142,219.00
Si compra hoy, este producto se despachara y/o entregara entre el 06-05-2024 y el 14-05-2024
Descripción
-Titulo Original : Deep Learning With R

-Fabricante :

Manning Publications

-Descripcion Original:

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. 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. 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. Deep learning from first principlesSetting up your own deep-learning environmentImage classification and generationDeep learning for text and sequences You'll need intermediate R programming skills. No previous experience with machine learning or deep learning is assumed. is a deep-learning researcher at Google and the author of the Keras library. is the founder of RStudio and the author of the R interfaces to TensorFlow and Keras. 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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