What's New in TensorFlow 2.0 :: Use the New and Improved Features of TensorFlow to Enhance Machine Learning and Deep Learning /
This book will cover all the new features that have been introduced in TensorFlow 2.0 especially the major highlight, including eager execution and more. You will learn how to make the best use of these features to migrate your codes from TensorFlow 1.x to TensorFlow 2.0 in a seamless way.
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | , |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt Publishing,
2019.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | This book will cover all the new features that have been introduced in TensorFlow 2.0 especially the major highlight, including eager execution and more. You will learn how to make the best use of these features to migrate your codes from TensorFlow 1.x to TensorFlow 2.0 in a seamless way. |
| Beschreibung: | 1 online resource (192 pages) |
| ISBN: | 1838828834 9781838828837 |
Internformat
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| 100 | 1 | |a Baranwal, Ajay. | |
| 245 | 1 | 0 | |a What's New in TensorFlow 2.0 : |b Use the New and Improved Features of TensorFlow to Enhance Machine Learning and Deep Learning / |c Ajay Baranwal, Alizishaan Khatri, Tanish Baranwal. |
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c 2019. | |
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| 505 | 0 | |a Section 1: TensorFlow 2.0 -- Architecture and API Changes -- Chapter 1: Getting Started with TensorFlow 2.0 -- Chapter 2: Keras Default Integration and Eager Execution -- Section 2: TensorFlow 2.0 -- Data and Model Training Pipelines -- Chapter 3: Designing and Constructing Input Data Pipelines -- Chapter 4: Model Training and Use of TensorBoard -- Section 3: TensorFlow 2.0 -- Model Inference and Deployment and AIY -- Chapter 5: Model Inference Pipelines -- Multi-platform Deployments -- Chapter 6: AIY Projects and TensorFlow Lite -- Section 4: TensorFlow 2.0 -- Migration, Summary -- Chapter 7: Migrating From TensorFlow 1.x to 2.0 | |
| 520 | |a This book will cover all the new features that have been introduced in TensorFlow 2.0 especially the major highlight, including eager execution and more. You will learn how to make the best use of these features to migrate your codes from TensorFlow 1.x to TensorFlow 2.0 in a seamless way. | ||
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| 650 | 6 | |a Logiciels libres. | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 7 | |a Machine learning |2 fast | |
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| 700 | 1 | |a Khatri, Alizishaan. | |
| 700 | 1 | |a Baranwal, Tanish. | |
| 776 | 0 | 8 | |i Print version: |a Baranwal, Ajay. |t What's New in TensorFlow 2. 0 : Use the New and Improved Features of TensorFlow to Enhance Machine Learning and Deep Learning. |d Birmingham : Packt Publishing, Limited, ©2019 |z 9781838823856 |
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| contents | Section 1: TensorFlow 2.0 -- Architecture and API Changes -- Chapter 1: Getting Started with TensorFlow 2.0 -- Chapter 2: Keras Default Integration and Eager Execution -- Section 2: TensorFlow 2.0 -- Data and Model Training Pipelines -- Chapter 3: Designing and Constructing Input Data Pipelines -- Chapter 4: Model Training and Use of TensorBoard -- Section 3: TensorFlow 2.0 -- Model Inference and Deployment and AIY -- Chapter 5: Model Inference Pipelines -- Multi-platform Deployments -- Chapter 6: AIY Projects and TensorFlow Lite -- Section 4: TensorFlow 2.0 -- Migration, Summary -- Chapter 7: Migrating From TensorFlow 1.x to 2.0 |
| ctrlnum | (OCoLC)1112420493 |
| dewey-full | 005.3 |
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| dewey-ones | 005 - Computer programming, programs, data, security |
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| dewey-search | 005.3 |
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| discipline | Informatik |
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| institution | BVB |
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| spelling | Baranwal, Ajay. What's New in TensorFlow 2.0 : Use the New and Improved Features of TensorFlow to Enhance Machine Learning and Deep Learning / Ajay Baranwal, Alizishaan Khatri, Tanish Baranwal. Birmingham, UK : Packt Publishing, 2019. ©2019 1 online resource (192 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Section 1: TensorFlow 2.0 -- Architecture and API Changes -- Chapter 1: Getting Started with TensorFlow 2.0 -- Chapter 2: Keras Default Integration and Eager Execution -- Section 2: TensorFlow 2.0 -- Data and Model Training Pipelines -- Chapter 3: Designing and Constructing Input Data Pipelines -- Chapter 4: Model Training and Use of TensorBoard -- Section 3: TensorFlow 2.0 -- Model Inference and Deployment and AIY -- Chapter 5: Model Inference Pipelines -- Multi-platform Deployments -- Chapter 6: AIY Projects and TensorFlow Lite -- Section 4: TensorFlow 2.0 -- Migration, Summary -- Chapter 7: Migrating From TensorFlow 1.x to 2.0 This book will cover all the new features that have been introduced in TensorFlow 2.0 especially the major highlight, including eager execution and more. You will learn how to make the best use of these features to migrate your codes from TensorFlow 1.x to TensorFlow 2.0 in a seamless way. Online resource; title from digital title page (viewed on January 06, 2020). Open source software. http://id.loc.gov/authorities/subjects/sh99003437 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Logiciels libres. Apprentissage automatique. Machine learning fast Open source software fast Khatri, Alizishaan. Baranwal, Tanish. Print version: Baranwal, Ajay. What's New in TensorFlow 2. 0 : Use the New and Improved Features of TensorFlow to Enhance Machine Learning and Deep Learning. Birmingham : Packt Publishing, Limited, ©2019 9781838823856 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2230244 Volltext |
| spellingShingle | Baranwal, Ajay What's New in TensorFlow 2.0 : Use the New and Improved Features of TensorFlow to Enhance Machine Learning and Deep Learning / Section 1: TensorFlow 2.0 -- Architecture and API Changes -- Chapter 1: Getting Started with TensorFlow 2.0 -- Chapter 2: Keras Default Integration and Eager Execution -- Section 2: TensorFlow 2.0 -- Data and Model Training Pipelines -- Chapter 3: Designing and Constructing Input Data Pipelines -- Chapter 4: Model Training and Use of TensorBoard -- Section 3: TensorFlow 2.0 -- Model Inference and Deployment and AIY -- Chapter 5: Model Inference Pipelines -- Multi-platform Deployments -- Chapter 6: AIY Projects and TensorFlow Lite -- Section 4: TensorFlow 2.0 -- Migration, Summary -- Chapter 7: Migrating From TensorFlow 1.x to 2.0 Open source software. http://id.loc.gov/authorities/subjects/sh99003437 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Logiciels libres. Apprentissage automatique. Machine learning fast Open source software fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh99003437 http://id.loc.gov/authorities/subjects/sh85079324 |
| title | What's New in TensorFlow 2.0 : Use the New and Improved Features of TensorFlow to Enhance Machine Learning and Deep Learning / |
| title_auth | What's New in TensorFlow 2.0 : Use the New and Improved Features of TensorFlow to Enhance Machine Learning and Deep Learning / |
| title_exact_search | What's New in TensorFlow 2.0 : Use the New and Improved Features of TensorFlow to Enhance Machine Learning and Deep Learning / |
| title_full | What's New in TensorFlow 2.0 : Use the New and Improved Features of TensorFlow to Enhance Machine Learning and Deep Learning / Ajay Baranwal, Alizishaan Khatri, Tanish Baranwal. |
| title_fullStr | What's New in TensorFlow 2.0 : Use the New and Improved Features of TensorFlow to Enhance Machine Learning and Deep Learning / Ajay Baranwal, Alizishaan Khatri, Tanish Baranwal. |
| title_full_unstemmed | What's New in TensorFlow 2.0 : Use the New and Improved Features of TensorFlow to Enhance Machine Learning and Deep Learning / Ajay Baranwal, Alizishaan Khatri, Tanish Baranwal. |
| title_short | What's New in TensorFlow 2.0 : |
| title_sort | what s new in tensorflow 2 0 use the new and improved features of tensorflow to enhance machine learning and deep learning |
| title_sub | Use the New and Improved Features of TensorFlow to Enhance Machine Learning and Deep Learning / |
| topic | Open source software. http://id.loc.gov/authorities/subjects/sh99003437 Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Logiciels libres. Apprentissage automatique. Machine learning fast Open source software fast |
| topic_facet | Open source software. Machine learning. Logiciels libres. Apprentissage automatique. Machine learning Open source software |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2230244 |
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