Von dem Buch Learning TensorFlow: A guide to building deep learning systems haben wir 3 gleiche oder sehr ähnliche Ausgaben identifiziert!
Falls Sie nur an einem bestimmten Exempar interessiert sind, können Sie aus der folgenden Liste jenes wählen, an dem Sie interessiert sind:
100%: Tom Hope, Yehezkel S. Resheff, Itay Lieder: Learning TensorFlow: A guide to building deep learning systems (ISBN: 9781491978511) O'Reilly Media, Incorporated, in Englisch, Taschenbuch.Nur diese Ausgabe anzeigen…
76%: Tom Hope, Yehezkel S. Resheff, Itay Lieder: Learning TensorFlow - A Guide to Building Deep Learning Systems (ISBN: 9781491978481) O'reilly Media, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
67%: Itay Lieder, Tom Hope, Yehezkel S. Resheff: Learning TensorFlow: A Guide to Building Deep Learning Systems (ISBN: 9781491978467) 2017, O'Reilly Media, O'Reilly Media, O'Reilly Media, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
Learning TensorFlow: A guide to building deep learning systems
8 Angebote vergleichen
Bester Preis: € 26,76 (vom 06.04.2017)1
Learning Tensorflow: A Guide To Building Deep Learning Systems
EN NWISBN: 9781491978511 bzw. 1491978511, in Englisch, O'Reilly Media, neu.
Lieferung aus: Kanada, In Stock, plus shipping.
Tom Hope, Yehezkel S. Resheff, Itay Lieder, Books, Computers, Learning Tensorflow: A Guide To Building Deep Learning Systems, TensorFlow is currently the leading open-source software for deep learning, used by a rapidly growing number of practitioners working on computer vision, Natural Language Processing (NLP), speech recognition, and general predictive analytics. This book is an end-to-end guide to TensorFlow designed for data scientists, engineers, students and researchers.With this book you will learn how to:Get up and running with TensorFlow, rapidly and painlesslyBuild and train popular deep learning models for computer vision and NLPApply your advanced understanding of the TensorFlow framework to build and adapt models for your specific needsTrain models at scale, and deploy TensorFlow in a production setting.
Tom Hope, Yehezkel S. Resheff, Itay Lieder, Books, Computers, Learning Tensorflow: A Guide To Building Deep Learning Systems, TensorFlow is currently the leading open-source software for deep learning, used by a rapidly growing number of practitioners working on computer vision, Natural Language Processing (NLP), speech recognition, and general predictive analytics. This book is an end-to-end guide to TensorFlow designed for data scientists, engineers, students and researchers.With this book you will learn how to:Get up and running with TensorFlow, rapidly and painlesslyBuild and train popular deep learning models for computer vision and NLPApply your advanced understanding of the TensorFlow framework to build and adapt models for your specific needsTrain models at scale, and deploy TensorFlow in a production setting.
2
Learning TensorFlow als eBook von Tom Hope, Yehezkel S. Resheff, Itay Lieder
EN NW EB DLISBN: 9781491978467 bzw. 1491978465, in Englisch, neu, E-Book, elektronischer Download.
Learning TensorFlow ab 30.99 EURO A Guide to Building Deep Learning Systems, Learning TensorFlow ab 30.99 EURO A Guide to Building Deep Learning Systems.
3
Learning TensorFlow
EN NWISBN: 9781491978511 bzw. 1491978511, in Englisch, O'Reilly Media, Inc, USA, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, in-stock.
TensorFlow is currently the leading open-source software for deep learning, used by a rapidly growing number of practitioners working on computer vision, Natural Language Processing (NLP), speech recognition, and general predictive analytics. This book is an end-to-end guide to TensorFlow designed for data scientists, engineers, students and researchers. With this book you will learn how to: Get up and running with TensorFlow, rapidly and painlesslyBuild and train popular deep learning models for computer vision and NLPApply your advanced understanding of the TensorFlow framework to build and adapt models for your specific needsDeploy TensorFlow on GPU clusters, and serve output in a production setting.
TensorFlow is currently the leading open-source software for deep learning, used by a rapidly growing number of practitioners working on computer vision, Natural Language Processing (NLP), speech recognition, and general predictive analytics. This book is an end-to-end guide to TensorFlow designed for data scientists, engineers, students and researchers. With this book you will learn how to: Get up and running with TensorFlow, rapidly and painlesslyBuild and train popular deep learning models for computer vision and NLPApply your advanced understanding of the TensorFlow framework to build and adapt models for your specific needsDeploy TensorFlow on GPU clusters, and serve output in a production setting.
4
Learning TensorFlow als eBook Download von
EN NW EBISBN: 9781491978481 bzw. 1491978481, in Englisch, O´Reilly Media, neu, E-Book.
Learning TensorFlow:A Guide to Building Deep Learning Systems Tom Hope, Yehezkel S. Resheff, Itay Lieder Learning TensorFlow:A Guide to Building Deep Learning Systems Tom Hope, Yehezkel S. Resheff, Itay Lieder.
5
Learning TensorFlow (2017)
EN NW EB DLISBN: 9781491978467 bzw. 1491978465, in Englisch, O'Reilly Media, O'Reilly Media, O'Reilly Media, neu, E-Book, elektronischer Download.
Lieferung aus: Vereinigte Staaten von Amerika, in-stock.
Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NLP), speech recognition, and general predictive analytics. Authors Tom Hope, Yehezkel Resheff, and Itay Lieder provide a hands-on approach to TensorFlow fundamentals for a broad technical audience-from data scientists and engineers to students and researchers. You'll begin by working through some basic examples in TensorFlow before diving deeper into topics such as neural network architectures, TensorBoard visualization, TensorFlow abstraction libraries, and multithreaded input pipelines. Once you finish this book, you'll know how to build and deploy production-ready deep learning systems in TensorFlow. Get up and running with TensorFlow, rapidly and painlesslyLearn how to use TensorFlow to build deep learning models from the ground upTrain popular deep learning models for computer vision and NLPUse extensive abstraction libraries to make development easier and fasterLearn how to scale TensorFlow, and use clusters to distribute model trainingDeploy TensorFlow in a production setting.
Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NLP), speech recognition, and general predictive analytics. Authors Tom Hope, Yehezkel Resheff, and Itay Lieder provide a hands-on approach to TensorFlow fundamentals for a broad technical audience-from data scientists and engineers to students and researchers. You'll begin by working through some basic examples in TensorFlow before diving deeper into topics such as neural network architectures, TensorBoard visualization, TensorFlow abstraction libraries, and multithreaded input pipelines. Once you finish this book, you'll know how to build and deploy production-ready deep learning systems in TensorFlow. Get up and running with TensorFlow, rapidly and painlesslyLearn how to use TensorFlow to build deep learning models from the ground upTrain popular deep learning models for computer vision and NLPUse extensive abstraction libraries to make development easier and fasterLearn how to scale TensorFlow, and use clusters to distribute model trainingDeploy TensorFlow in a production setting.
6
Symbolbild
Learning TensorFlow - A Guide to Building Deep Learning Systems
EN NWISBN: 9781491978481 bzw. 1491978481, in Englisch, O'reilly Media, neu.
Lieferung aus: Deutschland, Free shipping.
Learning TensorFlow: Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NLP), speech recognition, and general predictive analytics.Authors Tom Hope, Yehezkel Resheff, and Itay Lieder provide a hands-on approach to TensorFlow fundamentals for a broad technical audiencefrom data scientists and engineers to students and researchers. Youll begin by working through some basic examples in TensorFlow before diving deeper into topics such as neural network architectures, TensorBoard visualization, TensorFlow abstraction libraries, and multithreaded input pipelines. Once you finish this book, youll know how to build and deploy production-ready deep learning systems in TensorFlow.Get up and running with TensorFlow, rapidly and painlesslyLearn how to use TensorFlow to build deep learning models from the ground upTrain popular deep learning models for computer vision and NLPUse extensive abstraction libraries to make development easier and fasterLearn how to scale TensorFlow, and use clusters to distribute model trainingDeploy TensorFlow in a production setting, Englisch, Ebook.
Learning TensorFlow: Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy. This practical book provides an end-to-end guide to TensorFlow, the leading open source software library that helps you build and train neural networks for computer vision, natural language processing (NLP), speech recognition, and general predictive analytics.Authors Tom Hope, Yehezkel Resheff, and Itay Lieder provide a hands-on approach to TensorFlow fundamentals for a broad technical audiencefrom data scientists and engineers to students and researchers. Youll begin by working through some basic examples in TensorFlow before diving deeper into topics such as neural network architectures, TensorBoard visualization, TensorFlow abstraction libraries, and multithreaded input pipelines. Once you finish this book, youll know how to build and deploy production-ready deep learning systems in TensorFlow.Get up and running with TensorFlow, rapidly and painlesslyLearn how to use TensorFlow to build deep learning models from the ground upTrain popular deep learning models for computer vision and NLPUse extensive abstraction libraries to make development easier and fasterLearn how to scale TensorFlow, and use clusters to distribute model trainingDeploy TensorFlow in a production setting, Englisch, Ebook.
7
Learning TensorFlow: A Guide to Building Deep Learning Systems
EN NW EBISBN: 9781491978467 bzw. 1491978465, in Englisch, O'Reilly Media, Incorporated, neu, E-Book.
Lieferung aus: Vereinigte Staaten von Amerika, In Stock.
Learning-TensorFlow~~Tom-Hope, Learning TensorFlow: A Guide to Building Deep Learning Systems, NOOK Book (eBook).
Learning-TensorFlow~~Tom-Hope, Learning TensorFlow: A Guide to Building Deep Learning Systems, NOOK Book (eBook).
8
Learning TensorFlow: A guide to building deep learning systems
EN PB NWISBN: 9781491978511 bzw. 1491978511, in Englisch, O'Reilly Media, Incorporated, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, In Stock.
Learning-Tensorflow~~Tom-Hope, Learning TensorFlow: A guide to building deep learning systems, Paperback.
Learning-Tensorflow~~Tom-Hope, Learning TensorFlow: A guide to building deep learning systems, Paperback.
Lade…