Login       My Wishlist
  My Cart
$0.00 / 0 items
 
EMS Linux
Utilizing the Best Tools With Linux
 
International Access
Global Shipping Options Available
Home About Us News Our Blog Our Catalog My Cart My Account Track Shippment Contact Us
  Our Catalog   Algorithms

TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning


Mega Sale! Save 24% on the TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning by O'Reilly Media at EMS Linux. Hurry! Limited time offer. Offer valid only while supplies last. Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you


Product Description

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects in images, understanding text, analyzing video, and predicting the properties of potential medicines.

TensorFlow for Deep Learning teaches concepts through practical examples and helps you build knowledge of deep learning foundations from the ground up. It’s ideal for practicing developers with experience designing software systems, and useful for scientists and other professionals familiar with scripting but not necessarily with designing learning algorithms.

  • Learn TensorFlow fundamentals, including how to perform basic computation
  • Build simple learning systems to understand their mathematical foundations
  • Dive into fully connected deep networks used in thousands of applications
  • Turn prototypes into high-quality models with hyperparameter optimization
  • Process images with convolutional neural networks
  • Handle natural language datasets with recurrent neural networks
  • Use reinforcement learning to solve games such as tic-tac-toe
  • Train deep networks with hardware including GPUs and tensor processing units

Additional Information

Manufacturer:O'Reilly Media
Publisher:O'Reilly Media
Studio:O'Reilly Media
EAN:9781491980453
Item Size:0.5 x 9.1 x 9.1 inches
Package Weight:0.89 pounds
Package Size:7.01 x 0.79 x 0.79 inches

TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning by O'Reilly Media

Buy Now:
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

Brand: O'Reilly Media
Condition: New
Lead Time: 1 - 2 Business Days
Availability: In Stock
$69.99
$53.70
You Save: 23%


Quantity:  

 


View More In Algorithms.

 


Have questions about this item, or would like to inquire about a custom or bulk order?


If you have any questions about this product by O'Reilly Media, contact us by completing and submitting the form below. If you are looking for a specif part number, please include it with your message.

First Name:
Last Last:
Email Address:
Your Message:

Related Best Sellers


ean: 9780073523408, isbn: 0073523402,
This text, extensively class-tested over a decade at UC Berkeley and UC San Diego, explains the fundamentals of algorithms in a story line that makes the material enjoyable and easy to digest. Emphasis is placed on understanding the crisp mathematica...

mpn: 9781449358655, ean: 9781449358655, isbn: 1449358659,
Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hyp...

ean: 9781633430273, isbn: 1633430278,
Summary Think Like a Data Scientist presents a step-by-step approach to data science, combining analytic, programming, and business perspectives into easy-to-digest techniques and thought processes for solving real world data-centric problems. Purcha...

mpn: 9780744018066, ean: 9780744018066, isbn: 0744018064,
Only in this Collector's Edition:   • Bonus Content: Includes access to an exclusive Call of Duty ©: WWII Calling Card!    • For the Fans: This premium hardcover Collector's Edition features a Foreword written by Sledgehammer Games. It a...

mpn: black & white illustrations, ean: 9781784393908, isbn: 1784393908,
Key FeaturesHarness the power of R for statistical computing and data scienceExplore, forecast, and classify data with RUse R to apply common machine learning algorithms to real-world scenariosBook DescriptionMachine learning, at its core, is concern...

mpn: 9780201558029, ean: 9780201558029, isbn: 0201558025,
This book introduces the mathematics that supports advanced computer programming and the analysis of algorithms. The primary aim of its well-known authors is to provide a solid and relevant base of mathematical skills - the skills needed to solve com...

ean: 9781509304684, isbn: 1509304681,
Prepare for Microsoft Exam 70-535–and help demonstrate your real-world mastery of architecting complete cloud solutions on the Microsoft Azure platform. Designed for architects and other cloud professionals ready to advance their status, Exam Ref f...

By MIT
ean: 9780262036634, isbn: 0262036630,
How Hansel and Gretel, Sherlock Holmes, the movie Groundhog Day, Harry Potter, and other familiar stories illustrate the concepts of computing.Picture a computer scientist, staring at a screen and clicking away frantically on a keyboard, hacking into...

mpn: 26857875, ean: 9780744018301, isbn: 0744018307,
Bonus Art Book Excerpt: Previews the fascinating volume published by Dark Horse.Developer Interview: A behind-the-scenes look at the creation of The New Colossus, plus a foreword from Narrative Designer Tommy Tordsson Björk.Lithographs Included: A m...

ean: 9780486485829, isbn: 048648582X,
With its focus on creating efficient data structures and algorithms, this comprehensive text helps readers understand how to select or design the tools that will best solve specific problems. It uses Microsoft C++ as the programming language and is s...



Privacy Policy / Terms of Service
© 2018 - emslinux.com. All Rights Reserved.