TensorFlow machine learning cookbook :: over 60 recipes to build intelligent machine learning systems with the power of Python /
Skip the theory and get the most out of Tensorflow to build production-ready machine learning models Key Features Exploit the features of Tensorflow to build and deploy machine learning models Train neural networks to tackle real-world problems in Computer Vision and NLP Handy techniques to write pr...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham, UK :
Packt Publishing,
2018.
|
| Ausgabe: | Second edition. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Skip the theory and get the most out of Tensorflow to build production-ready machine learning models Key Features Exploit the features of Tensorflow to build and deploy machine learning models Train neural networks to tackle real-world problems in Computer Vision and NLP Handy techniques to write production-ready code for your Tensorflow models Book Description TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and allow you to dig deeper and gain more insights into your data than ever before. With the help of this book, you will work with recipes for training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and more. You will explore RNNs, CNNs, GANs, reinforcement learning, and capsule networks, each using Google's machine learning library, TensorFlow. Through real-world examples, you will get hands-on experience with linear regression techniques with TensorFlow. Once you are familiar and comfortable with the TensorFlow ecosystem, you will be shown how to take it to production. By the end of the book, you will be proficient in the field of machine intelligence using TensorFlow. You will also have good insight into deep learning and be capable of implementing machine learning algorithms in real-world scenarios. What you will learn Become familiar with the basic features of the TensorFlow library Get to know Linear Regression techniques with TensorFlow Learn SVMs with hands-on recipes Implement neural networks to improve predictive modeling Apply NLP and sentiment analysis to your data Master CNN and RNN through practical recipes Implement the gradient boosted random forest to predict housing prices Take TensorFlow into production Who this book is for If you are a data scientist or a machine learning engineer with some knowledge of linear algebra, statistics, and machine learning, this book is for you. If you want to skip the theory and build production-ready machine learning models using Tensorflow without reading pages and pages of material, this book is for you. Some background in Python programming is assumed. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/s ... |
| Beschreibung: | Previous edition published: 2017. |
| Beschreibung: | 1 online resource (1 volume) : illustrations |
| ISBN: | 9781789130768 178913076X |
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| 520 | |a Skip the theory and get the most out of Tensorflow to build production-ready machine learning models Key Features Exploit the features of Tensorflow to build and deploy machine learning models Train neural networks to tackle real-world problems in Computer Vision and NLP Handy techniques to write production-ready code for your Tensorflow models Book Description TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and allow you to dig deeper and gain more insights into your data than ever before. With the help of this book, you will work with recipes for training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and more. You will explore RNNs, CNNs, GANs, reinforcement learning, and capsule networks, each using Google's machine learning library, TensorFlow. Through real-world examples, you will get hands-on experience with linear regression techniques with TensorFlow. Once you are familiar and comfortable with the TensorFlow ecosystem, you will be shown how to take it to production. By the end of the book, you will be proficient in the field of machine intelligence using TensorFlow. You will also have good insight into deep learning and be capable of implementing machine learning algorithms in real-world scenarios. What you will learn Become familiar with the basic features of the TensorFlow library Get to know Linear Regression techniques with TensorFlow Learn SVMs with hands-on recipes Implement neural networks to improve predictive modeling Apply NLP and sentiment analysis to your data Master CNN and RNN through practical recipes Implement the gradient boosted random forest to predict housing prices Take TensorFlow into production Who this book is for If you are a data scientist or a machine learning engineer with some knowledge of linear algebra, statistics, and machine learning, this book is for you. If you want to skip the theory and build production-ready machine learning models using Tensorflow without reading pages and pages of material, this book is for you. Some background in Python programming is assumed. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/s ... | ||
| 505 | 0 | |a TensorFlow machine learning cookbook : over 60 recipes to build intelligent machine learning systems with the power of Python -- Dedication -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- 1. Getting Started with TensorFlow -- 2. The TensorFlow Way -- 3. Linear Regression -- 4. Support Vector Machines -- 5. Nearest-Neighbor Methods -- 6. Neural Networks -- 7. Natural Language Processing -- 8. Convolutional Neural Networks -- 9. Recurrent Neural Networks -- 10. Taking TensorFlow to Production -- 11. More with TensorFlow -- Other Books You May Enjoy -- Index. | |
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| contents | TensorFlow machine learning cookbook : over 60 recipes to build intelligent machine learning systems with the power of Python -- Dedication -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- 1. Getting Started with TensorFlow -- 2. The TensorFlow Way -- 3. Linear Regression -- 4. Support Vector Machines -- 5. Nearest-Neighbor Methods -- 6. Neural Networks -- 7. Natural Language Processing -- 8. Convolutional Neural Networks -- 9. Recurrent Neural Networks -- 10. Taking TensorFlow to Production -- 11. More with TensorFlow -- Other Books You May Enjoy -- Index. |
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| spelling | McClure, Nick, author. TensorFlow machine learning cookbook : over 60 recipes to build intelligent machine learning systems with the power of Python / Nick McClure. Second edition. Birmingham, UK : Packt Publishing, 2018. 1 online resource (1 volume) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Online resource; title from title page (Safari, viewed October 1, 2018). Previous edition published: 2017. Skip the theory and get the most out of Tensorflow to build production-ready machine learning models Key Features Exploit the features of Tensorflow to build and deploy machine learning models Train neural networks to tackle real-world problems in Computer Vision and NLP Handy techniques to write production-ready code for your Tensorflow models Book Description TensorFlow is an open source software library for Machine Intelligence. The independent recipes in this book will teach you how to use TensorFlow for complex data computations and allow you to dig deeper and gain more insights into your data than ever before. With the help of this book, you will work with recipes for training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and more. You will explore RNNs, CNNs, GANs, reinforcement learning, and capsule networks, each using Google's machine learning library, TensorFlow. Through real-world examples, you will get hands-on experience with linear regression techniques with TensorFlow. Once you are familiar and comfortable with the TensorFlow ecosystem, you will be shown how to take it to production. By the end of the book, you will be proficient in the field of machine intelligence using TensorFlow. You will also have good insight into deep learning and be capable of implementing machine learning algorithms in real-world scenarios. What you will learn Become familiar with the basic features of the TensorFlow library Get to know Linear Regression techniques with TensorFlow Learn SVMs with hands-on recipes Implement neural networks to improve predictive modeling Apply NLP and sentiment analysis to your data Master CNN and RNN through practical recipes Implement the gradient boosted random forest to predict housing prices Take TensorFlow into production Who this book is for If you are a data scientist or a machine learning engineer with some knowledge of linear algebra, statistics, and machine learning, this book is for you. If you want to skip the theory and build production-ready machine learning models using Tensorflow without reading pages and pages of material, this book is for you. Some background in Python programming is assumed. Downloading the example code for this book You can download the example code files for all Packt books you have purchased from your account at http://www.PacktPub.com. If you purchased this book elsewhere, you can visit http://www.PacktPub.com/s ... TensorFlow machine learning cookbook : over 60 recipes to build intelligent machine learning systems with the power of Python -- Dedication -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- 1. Getting Started with TensorFlow -- 2. The TensorFlow Way -- 3. Linear Regression -- 4. Support Vector Machines -- 5. Nearest-Neighbor Methods -- 6. Neural Networks -- 7. Natural Language Processing -- 8. Convolutional Neural Networks -- 9. Recurrent Neural Networks -- 10. Taking TensorFlow to Production -- 11. More with TensorFlow -- Other Books You May Enjoy -- Index. Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Apprentissage automatique. Intelligence artificielle. Python (Langage de programmation) artificial intelligence. aat Artificial intelligence fast Machine learning fast Python (Computer program language) fast FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1883903 Volltext |
| spellingShingle | McClure, Nick TensorFlow machine learning cookbook : over 60 recipes to build intelligent machine learning systems with the power of Python / TensorFlow machine learning cookbook : over 60 recipes to build intelligent machine learning systems with the power of Python -- Dedication -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- 1. Getting Started with TensorFlow -- 2. The TensorFlow Way -- 3. Linear Regression -- 4. Support Vector Machines -- 5. Nearest-Neighbor Methods -- 6. Neural Networks -- 7. Natural Language Processing -- 8. Convolutional Neural Networks -- 9. Recurrent Neural Networks -- 10. Taking TensorFlow to Production -- 11. More with TensorFlow -- Other Books You May Enjoy -- Index. Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Apprentissage automatique. Intelligence artificielle. Python (Langage de programmation) artificial intelligence. aat Artificial intelligence fast Machine learning fast Python (Computer program language) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85079324 http://id.loc.gov/authorities/subjects/sh85008180 http://id.loc.gov/authorities/subjects/sh96008834 https://id.nlm.nih.gov/mesh/D001185 https://id.nlm.nih.gov/mesh/D000069550 |
| title | TensorFlow machine learning cookbook : over 60 recipes to build intelligent machine learning systems with the power of Python / |
| title_auth | TensorFlow machine learning cookbook : over 60 recipes to build intelligent machine learning systems with the power of Python / |
| title_exact_search | TensorFlow machine learning cookbook : over 60 recipes to build intelligent machine learning systems with the power of Python / |
| title_full | TensorFlow machine learning cookbook : over 60 recipes to build intelligent machine learning systems with the power of Python / Nick McClure. |
| title_fullStr | TensorFlow machine learning cookbook : over 60 recipes to build intelligent machine learning systems with the power of Python / Nick McClure. |
| title_full_unstemmed | TensorFlow machine learning cookbook : over 60 recipes to build intelligent machine learning systems with the power of Python / Nick McClure. |
| title_short | TensorFlow machine learning cookbook : |
| title_sort | tensorflow machine learning cookbook over 60 recipes to build intelligent machine learning systems with the power of python |
| title_sub | over 60 recipes to build intelligent machine learning systems with the power of Python / |
| topic | Machine learning. http://id.loc.gov/authorities/subjects/sh85079324 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Artificial Intelligence https://id.nlm.nih.gov/mesh/D001185 Machine Learning https://id.nlm.nih.gov/mesh/D000069550 Apprentissage automatique. Intelligence artificielle. Python (Langage de programmation) artificial intelligence. aat Artificial intelligence fast Machine learning fast Python (Computer program language) fast |
| topic_facet | Machine learning. Artificial intelligence. Python (Computer program language) Artificial Intelligence Machine Learning Apprentissage automatique. Intelligence artificielle. Python (Langage de programmation) artificial intelligence. Artificial intelligence Machine learning |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1883903 |
| work_keys_str_mv | AT mcclurenick tensorflowmachinelearningcookbookover60recipestobuildintelligentmachinelearningsystemswiththepowerofpython |