Picture 1 of 1

Stock photo

Deep Learning with TensorFlow by Rezaul Karim, Ahmed Menshawy and Giancarlo Zaccone (2017, Trade Paperback)

Great Book Prices Store (341817)

96.8% positive feedback

Price:

$64.22

Free shipping

Estimated delivery Tue, Sep 9 - Mon, Sep 15

Returns:

14 days returns. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.

Condition:

Brand New

Deep Learning with TensorFlow, ISBN 1786469782, ISBN-13 9781786469786, Brand New, Free shipping in the US

About this product

Product Identifiers

PublisherPackt Publishing, The Limited

ISBN-101786469782

ISBN-139781786469786

eBay Product ID (ePID)237528284

Product Key Features

Publication Year2017

SubjectIntelligence (Ai) & Semantics, Data Processing, Computer Vision & Pattern Recognition

Number of Pages320 Pages

Publication NameDeep Learning with Tensorflow

LanguageEnglish

TypeTextbook

Subject AreaComputers

AuthorRezaul Karim, Ahmed Menshawy, Giancarlo Zaccone

FormatTrade Paperback

Additional Product Features

SynopsisDelve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive TensorFlow guideAbout This Book* Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow* Explore deep neural networks and layers of data abstraction with the help of this comprehensive guide* Real-world contextualization through some deep learning problems concerning research and application Who This Book Is ForThe book is intended for a general audience of people interested in machine learning and machine intelligence. A rudimentary level of programming in one language is assumed, as is a basic familiarity with computer science techniques and technologies, including a basic awareness of computer hardware and algorithms. Some competence in mathematics is needed to the level of elementary linear algebra and calculus.What You Will Learn* Learn about machine learning landscapes along with the historical development and progress of deep learning* Learn about deep machine intelligence and GPU computing with the latest TensorFlow 1.x* Access public datasets and utilize them using TensorFlow to load, process, and transform data* Use TensorFlow on real-world datasets, including images, text, and more* Learn how to evaluate the performance of your deep learning models* Using deep learning for scalable object detection and mobile computing* Train machines quickly to learn from data by exploring reinforcement learning techniques* Explore active areas of deep learning research and applicationsIn DetailDeep learning is the step that comes after machine learning, and has more advanced implementations. Machine learning is not just for academics anymore, but is becoming a mainstream practice through wide adoption, and deep learning has taken the front seat. As a data scientist, if you want to explore data abstraction layers, this book will be your guide. This book shows how this can be exploited in the real world with complex raw data using TensorFlow 1.x.Throughout the book, you'll learn how to implement deep learning algorithms for machine learning systems and integrate them into your product offerings, including search, image recognition, and language processing. Additionally, you'll learn how to analyze and improve the performance of deep learning models. This can be done by comparing algorithms against benchmarks, along with machine intelligence, to learn from the information and determine ideal behaviors within a specific context.After finishing the book, you will be familiar with machine learning techniques, in particular the use of TensorFlow for deep learning, and will be ready to apply your knowledge to research or commercial projects.Style and approachThis step-by-step guide will explore common, and not so common, deep neural networks and show how these can be exploited in the real world with complex raw data. With the help of practical examples, you will learn how to implement different types of neural nets to build smart applications related to text, speech, and image data processing.