Deep Learning With R

por Allaire, J. J.; Chollet, François
Deep Learning With R
Compartir en:

valoración (0 valoraciones)
Comenta y valora este libro

ISBN: 978-1-61729-554-6
Editorial: Manning Publications
Fecha de la edición: 2018
idioma: Ingles
Encuadernación:
Nº Pág.: 360

NOVEDAD!!

pvp.47.16 €

[En stock envio en 24h.]


Resumen del libro

Reseña: 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 learning PART 2 - DEEP LEARNING IN PRACTICEDeep learning for computer visionDeep learning for text and sequencesAdvanced deep-learning best practicesGenerative deep learningConclusions
Publicidad:



Ecobook recomienda

Dominar la econometría "El camino entre el efecto y la causa"

La econometría aplicada es la ciencia de los datos en su estado original, y engloba los métodos estadísticos que se usan en economía para desentrañar causas y efectos de las actividades humanas. Con un lenguaje ...

pvp.26.90 €


Python "Con aplicaciones a las matemáticas, ingeniería y finanzas"

En esta obra se presenta el lenguaje de programación Python desde sus conceptos y características básicas, hasta el desarrollo de programas con un alto nivel de complejidad. De acuerdo con este propósito en el libro ...

pvp.15.40 €



Publicidad: