Afbeelding 1 van 1
Galerij
Afbeelding 1 van 1
Hebt u iets om te verkopen?
Deep Learning with R by Francois Chollet: Used
US $7,94
OngeveerEUR 6,77
Objectstaat:
Goed
Een boek dat is gelezen, maar zich in goede staat bevindt. De kaft is zeer minimaal beschadigd (er zijn bijvoorbeeld slijtplekken), maar er zijn geen deukjes of scheuren. De harde kaft heeft mogelijk geen stofomslag meer. De boekband vertoont minimale slijtage. De meeste bladzijden zijn onbeschadigd. Er zijn weinig vouwen en scheuren en er is vrijwel geen tekst met potlood onderstreept of met een accentueerstift gemarkeerd. Er is niet in de kantlijn geschreven. Er ontbreken geen bladzijden. Bekijk de aanbieding van de verkoper voor de volledige details en een beschrijving van gebreken.
- Nu kopenDeep Learning with R by Francois Chollet: Used
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
Verzendkosten:
Gratis Standard Shipping.
Bevindt zich in: Sparks, Nevada, Verenigde Staten
Levering:
Geschatte levering tussen do, 18 sep en wo, 24 sep tot 94104
Retourbeleid:
30 dagen om te retourneren. Koper betaalt voor retourzending Als u een eBay-verzendlabel gebruikt, wordt dit in mindering gebracht op het terugbetalingsbedrag.
Betalingen:
Winkel met vertrouwen
De verkoper neemt de volledige verantwoordelijkheid voor deze aanbieding.
eBay-objectnummer:285046678383
Specificaties
- Objectstaat
- Book Title
- Deep Learning with R
- Publication Date
- 2018-02-09
- Pages
- 360
- ISBN
- 9781617295546
Over dit product
Product Identifiers
Publisher
Manning Publications Co. LLC
ISBN-10
161729554X
ISBN-13
9781617295546
eBay Product ID (ePID)
3038436131
Product Key Features
Number of Pages
360 Pages
Language
English
Publication Name
Deep Learning with R
Subject
Programming Languages / General, Machine Theory, Intelligence (Ai) & Semantics, Neural Networks
Publication Year
2018
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Height
0.8 in
Item Weight
24 Oz
Item Length
9.3 in
Item Width
7.3 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2018-285360
Dewey Edition
23
Illustrated
Yes
Dewey Decimal
005.13/3
Synopsis
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 Fran ois 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 About the Reader You'll need intermediate R programming skills. No previous experience with machine learning or deep learning is assumed. About the Authors Fran ois 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 LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions, Description Artificial intelligence has made some incredible leaps. Deep learning systems now deliver near-human speech and image recognition, not to mention machines capable of beating world champion Go masters. Deep learning applies to a widening range of problems, such as question answering, machine translation, and optical character recognition. It's behind photo tagging, self-driving cars, virtual assistants and other previously impossible applications. Deep Learning with R is for developers and data scientists with some R experience who want to use deep learning to solve real-world problems. The book is structured around a series of practical examples that introduce each new concept and demonstrate best practices. You'll begin by learning what deep learning is, how it connects with AI and Machine Learning, and why it's rapidly gaining in importance right now. You'll then dive into practical applications of computer vision, natural language processing, and more. Key features · Understand key machine learning concepts · Set up a computer environment for deep learning · Visualize neural networks · Use recurrent neural networks for text and sequence Classification Audience You'll need intermediate R programming skills. No previous experience with machine learning or deep learning is required. About the technology Although deep learning can be a challenging subject, new technologies make it much easier to get started than ever before. The Keras deep learning library featured in this book puts ease of use and accessibility front and center, making it a great fit for new practitioners., 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 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 LEARNING What is deep learning? Before we begin: the mathematical building blocks of neural networks Getting started with neural networks Fundamentals of machine learning PART 2 - DEEP LEARNING IN PRACTICE Deep learning for computer vision Deep learning for text and sequences Advanced deep-learning best practices Generative deep learning Conclusions, Key features · Understand key machine learning concepts · Set up a computer environment for deep learning · Visualize neural networks · Use recurrent neural networks for text and sequence Classification Audience You'll need intermediate R programming skills. No previous experience with machine learning or deep learning is required.
LC Classification Number
TA347.A78
Objectbeschrijving van de verkoper
Informatie van zakelijke verkoper
Over deze verkoper
AlibrisBooks
98,7% positieve feedback•2,0M objecten verkocht
Ingeschreven als zakelijke verkoper
Feedback verkoper (522.344)
- eBay automated Feedback- Feedback gegeven door koper.Afgelopen maandOrder completed successfully – tracked and on time
- eBay automated Feedback- Feedback gegeven door koper.Afgelopen maandOrder completed successfully – tracked and on time
- i***i (327)- Feedback gegeven door koper.Afgelopen maandGeverifieerde aankoopChristmas present for granddaughter love the jacket cover
Feedback verkoper (522.344)
- eBay automated Feedback- Feedback gegeven door koper.Afgelopen maandOrder completed successfully – tracked and on time
- eBay automated Feedback- Feedback gegeven door koper.Afgelopen maandOrder completed successfully – tracked and on time
- i***i (327)- Feedback gegeven door koper.Afgelopen maandGeverifieerde aankoopChristmas present for granddaughter love the jacket cover