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Abstract
Deep Studying with Python introduces the sphere of deep studying utilizing the Python language and the highly effective Keras library. Written by Keras creator and Google AI researcher François Chollet, this ebook builds your understanding by way of intuitive explanations and sensible examples.
Buy of the print ebook features a free eBook in PDF, Kindle, and ePub codecs from Manning Publications.
In regards to the Know-how
Machine studying has made exceptional progress lately. We went from near-unusable speech and picture recognition, to near-human accuracy. We went from machines that could not beat a critical Go participant, to defeating a world champion. Behind this progress is deep studying—a mixture of engineering advances, finest practices, and principle that permits a wealth of beforehand inconceivable good purposes.
In regards to the E-book
Deep Studying with Python introduces the sphere of deep studying utilizing the Python language and the highly effective Keras library. Written by Keras creator and Google AI researcher François Chollet, this ebook builds your understanding by way of intuitive explanations and sensible examples. You may discover difficult ideas and follow with purposes in laptop imaginative and prescient, natural-language processing, and generative fashions. By the point you end, you may have the data and hands-on abilities to use deep studying in your individual tasks.
What’s Inside
Deep studying from first principlesSetting up your individual deep-learning environmentImage-classification modelsDeep studying for textual content and sequencesNeural type switch, textual content era, and picture era
In regards to the Reader
Readers want intermediate Python abilities. No earlier expertise with Keras, TensorFlow, or machine studying is required.
In regards to the Writer
François Chollet is without doubt one of the most essential researchers in modern-day deep studying. His groundbreaking work contains the creation of the Keras deep studying library, and main contributions to the TensorFlow framework. These instruments have helped revolutionize and democratize deep studying. François is an AI researcher and Senior Workers Software program Engineer at Google. François authored Deep Studying with R alongside J.J. Allaire, and developed the Abstraction and Reasoning Problem that measures AI skill-acquisition on unknown duties.
Desk of Contents
What’s deep studying?Earlier than we start: the mathematical constructing blocks of neural networksGetting began with neural networksFundamentals of machine learningDeep studying for laptop visionDeep studying for textual content and sequencesAdvanced deep-learning finest practicesGenerative deep learningConclusionsappendix A – Putting in Keras and its dependencies on Ubuntuappendix B – Working Jupyter notebooks on an EC2 GPU occasion
PART 1 – FUNDAMENTALS OF DEEP LEARNING
PART 2 – DEEP LEARNING IN PRACTICE
From the Writer
For over thirty years, Manning Publications has been delivering impeccable high quality in tech publishing. Our wealthy and impartial historical past is stuffed with improvements, together with groundbreaking early entry applications, DRM-free ebooks, and reside studying tasks. We spend 1000’s of hours making every Manning ebook excellent—and our readers agree! We’re frequently informed that Manning produces the perfect tech content material you should buy.
Manning authors are know-how consultants, together with distinguished teachers, trade veterans, and the creators of main instruments. Timeless Manning classics embrace Francois Chollet’s Deep Studying with Python, Jon Skeet’s C# in Depth, Don Jones’ Study Home windows Powershell in a Month of Lunches, and Chris Richarson’s Microservices Patterns. We’re proud to assist a few of the world’s best programmers share their distinctive perception with you.
From the Writer
Who ought to learn this ebook Should you’re a knowledge scientist accustomed to machine studying, this ebook will give you a strong, sensible introduction to deep studying, the fastest-growing and most vital subfield of machine studying Should you’re a deep-learning skilled seeking to get began with the Keras framework, you’ll discover this ebook to be the very best Keras crash course accessible Should you’re a graduate scholar learning deep studying in a proper setting, you’ll discover this ebook to be a sensible complement to your training, serving to you construct instinct across the conduct of deep neural networks and familiarizing you with key finest practices
About This E-book
This ebook was written for anybody who needs to discover deep studying from scratch or broaden their understanding of deep studying. Whether or not you’re a practising machine-learning engineer, a software program developer, or a school scholar, you’ll discover worth in these pages. This ebook gives a sensible, hands-on exploration of deep studying. It avoids mathematical notation, preferring as an alternative to elucidate quantitative ideas through code snippets and to construct sensible instinct in regards to the core concepts of machine studying and deep studying. You’ll be taught from greater than 30 code examples that embrace detailed commentary, sensible suggestions, and easy high-level explanations of every thing it’s essential know to start out utilizing deep studying to resolve concrete issues. The code examples use the Python deep-learning framework Keras, with Tensor- Move as a back-end engine. Keras, one of the standard and fastest-growing deeplearning frameworks, is extensively really useful as the very best device to get began with deep studying.
After studying this ebook, you’ll have a strong perceive of what deep studying is, when it’s relevant, and what its limitations are. You’ll be accustomed to the usual workflow for approaching and fixing machine-learning issues, and also you’ll know find out how to deal with generally encountered points. You’ll be capable to use Keras to deal with real-world issues starting from laptop imaginative and prescient to natural-language processing: picture classification, timeseries forecasting, sentiment evaluation, picture and textual content era, and extra.
This ebook is written for individuals with Python programming expertise who wish to get began with machine studying and deep studying. However this ebook will also be priceless to many several types of readers. Even technically minded individuals who don’t code frequently will discover this ebook helpful as an introduction to each fundamental and superior deep-learning ideas.
With the intention to use Keras, you’ll want cheap Python proficiency. Moreover, familiarity with the Numpy library will probably be useful, though it isn’t required. You don’t want earlier expertise with machine studying or deep studying: this ebook covers from scratch all the mandatory fundamentals. You don’t want a complicated arithmetic background, both—highschool–degree arithmetic ought to suffice as a way to observe alongside.
Deep Studying with Python
Deep Studying with R
Buyer Critiques
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Deep Studying with Francois Chollet
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ASIN : 1617294438
Writer : Manning
Publication date : Dec 22 2017
Version : First Version
Language : English
Print size : 384 pages
ISBN-10 : 9781617294433
ISBN-13 : 978-1617294433
Merchandise weight : 644 g
Dimensions : 18.75 x 2.03 x 23.5 cm
Greatest Sellers Rank: #550,120 in Books (See High 100 in Books) #26 in Python (Books) #26 in Speech & Audio Processing #168 in AI Human Imaginative and prescient & Language Programs
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