TensorFlow 2.x in the Colaboratory Cloud: An Introduction to Deep Learning on Google?s Cloud Service
Paper, David
ISBN 10: 148426648X ISBN 13: 9781484266489
Verlag: Apress, 2021
Neu
Softcover
Verkäufer
Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
AbeBooks-Verkäufer seit 25. März 2015
Dieser Artikel ist nicht mehr verfügbar.
Beschreibung
Beschreibung:
In English. Bestandsnummer des Verkäufers ria9781484266489_new
Inhaltsangabe:
Use TensorFlow 2.x with Google’s Colaboratory (Colab) product that offers a free cloud service for Python programmers. Colab is especially well suited as a platform for TensorFlow 2.x deep learning applications. You will learn Colab’s default install of the most current TensorFlow 2.x along with Colab’s easy access to on-demand GPU hardware acceleration in the cloud for fast execution of deep learning models. This book offers you the opportunity to grasp deep learning in an applied manner with the only requirement being an Internet connection. Everything else-Python, TensorFlow 2.x, GPU support, and Jupyter Notebooks-is provided and ready to go from Colab.
The book begins with an introduction to TensorFlow 2.x and the Google Colab cloud service. You will learn how to provision a workspace on Google Colab and build a simple neural network application. From there you will progress into TensorFlow datasets and building input pipelines in support of modeling and testing. You will find coverage of deep learning classification and regression, with clear code examples showing how to perform each of those functions. Advanced topics covered in the book include convolutional neural networks and recurrent neural networks.
This book contains all the applied math and programming you need to master the content. Examples range from simple to relatively complex when necessary to ensure acquisition of appropriate deep learning concepts and constructs. Examples are carefully explained, concise, accurate, and complete to perfectly complement deep learning skill development. Care is taken to walk you through the foundational principles of deep learning through clear examples written in Python that you can try out and experiment with using Google Colab from the comfort of your own home or office.
What You Will Learn
- Be familiar with the basic concepts and constructs of applied deep learning
- Create machine learning models with clean and reliable Python code
- Work with datasets common to deep learning applications
- Prepare data for TensorFlow consumption
- Take advantage of Google Colab’s built-in support for deep learning
- Execute deep learning experiments using a variety of neural network models
- Be able to mount Google Colab directly to your Google Drive account
- Visualize training versus test performance to see model fit
Who This Book Is For
Readers who want to learn the highly popular TensorFlow 2.x deep learning platform, those who wish to master deep learning fundamentals that are sometimes skipped over in the rush to be productive, and those looking to build competency with a modern cloud service tool such as Google Colab
Über die Autorin bzw. den Autor: Dr. David Paper is a full professor at Utah State University (USU) in the Management Information Systems department. He has over 30 years of higher education teaching experience. At USU, he has over 26 years teaching in the classroom and distance education over satellite. Dr. Paper has taught a variety of classes at the undergraduate, graduate, and doctorate levels, but he specializes in technology education. He has competency in several programming languages, but his focus is currently on deep learning (Python) and database programming (PyMongo). Dr. Paper has published three technical books for industry professionals, including Web Programming for Business: PHP Object-Oriented Programming with Oracle, Data Science Fundamentals for Python and MongoDB (Apress), and Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python (Apress). He has authored more than 100 academic publications. Besides growing up in family businesses, Dr. Paper has worked for Texas Instruments, DLS, Inc., and the Phoenix Small Business Administration. He has performed IS consulting work for IBM, AT&T, Octel, Utah Department of Transportation, and the Space Dynamics Laboratory.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Bibliografische Details
Titel: TensorFlow 2.x in the Colaboratory Cloud: An...
Verlag: Apress
Erscheinungsdatum: 2021
Einband: Softcover
Zustand: New
Beste Suchergebnisse beim ZVAB
Foto des Verkäufers
TensorFlow 2.x in the Colaboratory Cloud: An Introduction to Deep Learning on Googleâs Cloud Service
Anbieter: WeBuyBooks, Rossendale, LANCS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind. Artikel-Nr. wbs9420562847
Gebraucht kaufen
EUR 23,76
EUR 7,69 shipping
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: 1 verfügbar
Foto des Verkäufers
TensorFlow 2.x in the Colaboratory Cloud
Anbieter: moluna, Greven, Deutschland
Verkäuferbewertung 4 von 5 Sternen
Zustand: New. Artikel-Nr. 419643154
Neu kaufen
EUR 39,06
EUR 48,99 shipping
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 2 verfügbar
Foto des Verkäufers
TensorFlow 2.x in the Colaboratory Cloud | An Introduction to Deep Learning on Google's Cloud Service
Anbieter: preigu, Osnabrück, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. TensorFlow 2.x in the Colaboratory Cloud | An Introduction to Deep Learning on Google's Cloud Service | David Paper | Taschenbuch | xxiii | Englisch | 2021 | Apress | EAN 9781484266489 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Artikel-Nr. 119080878
Neu kaufen
EUR 50,35
EUR 70,00 shipping
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 5 verfügbar
Beispielbild für diese ISBN
Tensorflow 2.x in the Colaboratory Cloud: An Introduction to Deep Learning on Google's Cloud Service
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Brand New. 264 pages. 9.75x7.00x0.50 inches. In Stock. Artikel-Nr. x-148426648X
Neu kaufen
EUR 54,17
EUR 14,24 shipping
Versand von Vereinigtes Königreich nach USA
Versand von Vereinigtes Königreich nach USA
Anzahl: 2 verfügbar
Foto des Verkäufers
TensorFlow 2.x in the Colaboratory Cloud
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -Use TensorFlow 2.x with Google's Colaboratory (Colab) product that offers a free cloud service for Python programmers. Colab is especially well suited as a platform for TensorFlow 2.x deep learning applications. You will learn Colab¿s default install of the most current TensorFlow 2.x along with Colab¿s easy access to on-demand GPU hardware acceleration in the cloud for fast execution of deep learning models. This book offers you the opportunity to grasp deep learning in an applied manner with the only requirement being an Internet connection. Everything else¿Python, TensorFlow 2.x, GPU support, and Jupyter Not Elektronisches Buch¿is provided and ready to go from Colab.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 288 pp. Englisch. Artikel-Nr. 9781484266489
Neu kaufen
EUR 58,84
EUR 60,00 shipping
Versand von Deutschland nach USA
Versand von Deutschland nach USA
Anzahl: 2 verfügbar