Neuware - SummaryMachine Learning with TensorFlow gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python. Purchase of the print book includes a free Elektronisches Buch in PDF, Kindle, and ePub formats from Manning Publications.About the TechnologyTensorFlow, Google's library for large-scale machine learning, simplifies often-complex computations by representing them as graphs and efficiently mapping parts of the graphs to machines in a cluster or to the processors of a single machine.About the BookMachine Learning with TensorFlow gives readers a solid foundation in machine-learning concepts plus hands-on experience coding TensorFlow with Python. You'll learn the basics by working with classic prediction, classification, and clustering algorithms. Then, you'll move on to the money chapters: exploration of deep-learning concepts like autoencoders, recurrent neural networks, and reinforcement learning. Digest this book and you will be ready to use TensorFlow for machine-learning and deep-learning applications of your own. What's InsideMatching your tasks to the right machine-learning and deep-learning approachesVisualizing algorithms with TensorBoardUnderstanding and using neural networksAbout the ReaderWritten for developers experienced with Python and algebraic concepts like vectors and matrices.About the AuthorAuthor Nishant Shukla is a computer vision researcher focused on applying machine-learning techniques in robotics. Senior technical editor, Kenneth Fricklas, is a seasoned developer, author, and machine-learning practitioner.Table of ContentsPART 1 - YOUR MACHINE-LEARNING RIGA machine-learning odysseyTensorFlow essentialsPART 2 - CORE LEARNING ALGORITHMSLinear regression and beyondA gentle introduction to classificationAutomatically clustering dataHidden Markov models PART 3 - THE NEURAL NETWORK PARADIGMA peek into autoencodersReinforcement learningConvolutional neural networksRecurrent neural networksSequence-to-sequence models for chatbotsUtility landscape.

Bestandsnummer des Verk�ufers 9781617293870

Verk�ufer kontaktieren

Diesen Artikel melden

Bibliografische Details

Titel: Machine Learning with Tensorflow
Verlag: Pearson Education Apr 2018
Ver�ffentlichungsdatum: 2018
Sprache: Englisch
ISBN-10: 1617293873
ISBN-13: 9781617293870
Bindung: Taschenbuch
Zustand: Neu

�ber diesen Titel

Inhaltsangabe

DESCRIPTION

Being able to make near-real-time decisions is becoming increasingly

crucial. To succeed, we need machine learning systems that can turn

massive amounts of data into valuable insights. But when you're just

starting out in the data science field, how do you get started creating

machine learning applications? The answer is TensorFlow, a new open

source machine learning library from Google. The TensorFlow library

can take your high level designs and turn them into the low level

mathematical operations required by machine learning algorithms.

Machine Learning with TensorFlow teaches readers about machine

learning algorithms and how to implement solutions with TensorFlow.

It starts with an overview of machine learning concepts and moves on

to the essentials needed to begin using TensorFlow. Each chapter

zooms into a prominent example of machine learning. Readers can

cover them all to master the basics or skip around to cater to their

needs. By the end of this book, readers will be able to solve

classification, clustering, regression, and prediction problems in the

real world.

KEY FEATURES

• Lots of diagrams, code examples, and exercises

• Solves real-world problems with TensorFlow

• Uses well-studied neural network architectures

• Presents code that can be used for the readers’ own applications

AUDIENCE

This book is for programmers who have some experience with Python and

linear algebra concepts like vectors and matrices. No experience with

machine learning is necessary.

ABOUT THE TECHNOLOGY

Google open-sourced their machine learning framework called TensorFlow

in late 2015 under the Apache 2.0 license. Before that, it was used

proprietarily by Google in its speech recognition, Search, Photos, and

Gmail, among other applications. TensorFlow is one the most popular

machine learning libraries.

�ber die Autorin bzw. den Autor

AUTHOR BIO

Nishant Shukla is a computer vision researcher at UCLA, focusing on

machine learning techniques with robotics. He has been a developer for

Microsoft, Facebook, and Foursquare, and a machine learning engineer for

SpaceX, as well as the author of the Haskell Data Analysis Cookbook.

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.

Anbieterinformationen

Das Unternehmen AHA-BUCH GmbH: Seit der Gr�ndung von AHA-BUCH im Juli 2005 ist unser Hauptziel, zufriedenen Kunden so schnell und so preisg�nstig wie m�glich ihren B�cherwunsch zu erf�llen. Unsere Firma besch�ftigt 16 Mitarbeiter, die nur ein Ziel kennen: den Kunden und seine W�nsche! Auf �ber 3700 m2 Fl�che haben wir �ber 100.000 B�cher, Modernes Antiquariat und Spiele auf Lager.

Zur Homepage des Verk�ufers

Unternehmensdaten des Verk�ufers

AHA-BUCH GmbH
Garlebsen 48, Einbeck, 37574, Germany

Gesch�ftsbedingungen und Versandinformationen

Verkaufsbedingungen

Allgemeine Gesch�ftsbedingungen und Kundeninformationen / Datenschutzerkl�rung

I. Allgemeine Gesch�ftsbedingungen

� 1 Grundlegende Bestimmungen

(1) Die nachstehenden Gesch�ftsbedingungen gelten f�r alle Vertr�ge, die Sie mit uns als Anbieter (AHA-BUCH GmbH) �ber die Internetplattformen AbeBooks und/oder ZVAB schlie�en. Soweit nicht anders vereinbart, wird der Einbeziehung gegebenenfalls von Ihnen verwendeter eigener Bedingungen widersprochen.

(2) Verbraucher im Sinne der nachstehenden Regelungen...

Mehr Information

Versandbedingungen

Wir liefern Lagerartikel innerhalb von 24 Stunden nach Erhalt der Bestellung aus.
Barsortimentsartikel, die wir �ber Nacht geliefert bekommen, am darauffolgenden Werktag.
Unser Ziel ist es Ihnen die Artikel in der �konomischten und effizientesten Weise zu senden.

Impressum & Info zum Verk�ufer