Python for TensorFlow Pocket Primer:
As part of the best-selling Pocket Primer series, this book is designed to prepare programmers for machine learning and deep learning/TensorFlow topics. It begins with a quick introduction to Python, followed by chapters that discuss NumPy, Pandas, Matplotlib, and scikit-learn. The final two chapter...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Herndon
Mercury Learning and Information
[2019]
|
| Schriftenreihe: | Pocket Primer
|
| Schlagworte: | |
| Online-Zugang: | DE-1046 DE-1043 DE-858 DE-859 DE-860 DE-739 URL des Erstveröffentlichers |
| Zusammenfassung: | As part of the best-selling Pocket Primer series, this book is designed to prepare programmers for machine learning and deep learning/TensorFlow topics. It begins with a quick introduction to Python, followed by chapters that discuss NumPy, Pandas, Matplotlib, and scikit-learn. The final two chapters contain an assortment of TensorFlow 1.x code samples, including detailed code samples for TensorFlow Dataset (which is used heavily in TensorFlow 2 as well). A TensorFlow Dataset refers to the classes in the tf.data.Dataset namespace that enables programmers to construct a pipeline of data by means of method chaining so-called lazy operators, e.g., map(), filter(), batch(), and so forth, based on data from one or more data sources. Companion files with source code are available for downloading from the publisher by writing info@merclearning.com. Features:A practical introduction to Python, NumPy, Pandas, Matplotlib, and introductory aspects of TensorFlow 1.xContains relevant NumPy/Pandas code samples that are typical in machine learning topics, and also useful TensorFlow 1.x code samples for deep learning/TensorFlow topicsIncludes many examples of TensorFlow Dataset APIs with lazy operators, e.g., map(), filter(), batch(), take() and also method chaining such operatorsAssumes the reader has very limited experienceCompanion files with all of the source code examples (download from the publisher) |
| Beschreibung: | Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023) |
| Beschreibung: | 1 Online-Ressource (218 Seiten) |
| ISBN: | 9781683923633 |
| DOI: | 10.1515/9781683923633 |
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| 520 | |a As part of the best-selling Pocket Primer series, this book is designed to prepare programmers for machine learning and deep learning/TensorFlow topics. It begins with a quick introduction to Python, followed by chapters that discuss NumPy, Pandas, Matplotlib, and scikit-learn. The final two chapters contain an assortment of TensorFlow 1.x code samples, including detailed code samples for TensorFlow Dataset (which is used heavily in TensorFlow 2 as well). A TensorFlow Dataset refers to the classes in the tf.data.Dataset namespace that enables programmers to construct a pipeline of data by means of method chaining so-called lazy operators, e.g., map(), filter(), batch(), and so forth, based on data from one or more data sources. Companion files with source code are available for downloading from the publisher by writing info@merclearning.com. Features:A practical introduction to Python, NumPy, Pandas, Matplotlib, and introductory aspects of TensorFlow 1.xContains relevant NumPy/Pandas code samples that are typical in machine learning topics, and also useful TensorFlow 1.x code samples for deep learning/TensorFlow topicsIncludes many examples of TensorFlow Dataset APIs with lazy operators, e.g., map(), filter(), batch(), take() and also method chaining such operatorsAssumes the reader has very limited experienceCompanion files with all of the source code examples (download from the publisher) | ||
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| spelling | Campesato, Oswald Verfasser aut Python for TensorFlow Pocket Primer Oswald Campesato Herndon Mercury Learning and Information [2019] © 2019 1 Online-Ressource (218 Seiten) txt rdacontent c rdamedia cr rdacarrier Pocket Primer Description based on online resource; title from PDF title page (publisher's Web site, viewed 01. Nov 2023) As part of the best-selling Pocket Primer series, this book is designed to prepare programmers for machine learning and deep learning/TensorFlow topics. It begins with a quick introduction to Python, followed by chapters that discuss NumPy, Pandas, Matplotlib, and scikit-learn. The final two chapters contain an assortment of TensorFlow 1.x code samples, including detailed code samples for TensorFlow Dataset (which is used heavily in TensorFlow 2 as well). A TensorFlow Dataset refers to the classes in the tf.data.Dataset namespace that enables programmers to construct a pipeline of data by means of method chaining so-called lazy operators, e.g., map(), filter(), batch(), and so forth, based on data from one or more data sources. Companion files with source code are available for downloading from the publisher by writing info@merclearning.com. Features:A practical introduction to Python, NumPy, Pandas, Matplotlib, and introductory aspects of TensorFlow 1.xContains relevant NumPy/Pandas code samples that are typical in machine learning topics, and also useful TensorFlow 1.x code samples for deep learning/TensorFlow topicsIncludes many examples of TensorFlow Dataset APIs with lazy operators, e.g., map(), filter(), batch(), take() and also method chaining such operatorsAssumes the reader has very limited experienceCompanion files with all of the source code examples (download from the publisher) In English Programming COMPUTERS / Programming Languages / Python bisacsh Python (Computer program language) Erscheint auch als Druck-Ausgabe 9781683923619 https://doi.org/10.1515/9781683923633?locatt=mode:legacy Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Campesato, Oswald Python for TensorFlow Pocket Primer Programming COMPUTERS / Programming Languages / Python bisacsh Python (Computer program language) |
| title | Python for TensorFlow Pocket Primer |
| title_auth | Python for TensorFlow Pocket Primer |
| title_exact_search | Python for TensorFlow Pocket Primer |
| title_exact_search_txtP | Python for TensorFlow Pocket Primer |
| title_full | Python for TensorFlow Pocket Primer Oswald Campesato |
| title_fullStr | Python for TensorFlow Pocket Primer Oswald Campesato |
| title_full_unstemmed | Python for TensorFlow Pocket Primer Oswald Campesato |
| title_short | Python for TensorFlow Pocket Primer |
| title_sort | python for tensorflow pocket primer |
| topic | Programming COMPUTERS / Programming Languages / Python bisacsh Python (Computer program language) |
| topic_facet | Programming COMPUTERS / Programming Languages / Python Python (Computer program language) |
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