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TensorFlow 2.0 quick start guide : get up to speed with the newly introduced features of TensorFlow 2.0 /
TensorFlow is one of the most popular machine learning frameworks in Python. With this book, you will improve your knowledge of some of the latest TensorFlow features and will be able to perform supervised and unsupervised machine learning and also train neural networks.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2019.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Holdroyd, Tony, |e author. | |
| 245 | 1 | 0 | |a TensorFlow 2.0 quick start guide : |b get up to speed with the newly introduced features of TensorFlow 2.0 / |c Tony Holdroyd. |
| 246 | 3 | |a TensorFlow two point zero quick start guide | |
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c 2019. | |
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| 588 | 0 | |a Online resource; title from PDF title page (EBSCO, viewed June 20, 2019) | |
| 505 | 0 | |a TensorFlow 2.0 quick start guide : get up to speed with the newly introduced features of TensorFlow 2.0 -- Contributors -- Table of Contents -- Preface -- Section 1: Introduction to TensorFlow 2.00 Alpha -- Chapter 1: Introducing TensorFlow 2 -- Chapter 2: Keras, a High-Level API for TensorFlow 2 -- Chapter 3: ANN Technologies Using TensorFlow 2 -- Section 2: Supervised and Unsupervised Learning in TensorFlow 2.00 Alpha -- Chapter 4: Supervised Machine Learning Using TensorFlow 2 -- Chapter 5: Unsupervised Learning Using TensorFlow 2 -- Section 3: Neural Network Applications of TensorFlow 2.00 Alpha -- Chapter 6: Recognizing Images with TensorFlow 2 -- Chapter 7: Neural Style Transfer Using TensorFlow 2 -- Chapter 8: Recurrent Neural Networks Using TensorFlow 2 -- Chapter 9: TensorFlow Estimators and TensorFlow Hub -- Appendix A: Converting from tf1.12 to tf2 -- Other Books You May Enjoy -- Index. | |
| 520 | 3 | |a TensorFlow is one of the most popular machine learning frameworks in Python. With this book, you will improve your knowledge of some of the latest TensorFlow features and will be able to perform supervised and unsupervised machine learning and also train neural networks. | |
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 630 | 0 | 0 | |a TensorFlow. |
| 650 | 0 | |a Application software |x Development. | |
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Machine learning. | |
| 650 | 6 | |a Logiciels d'application |x Développement. | |
| 650 | 6 | |a Réseaux neuronaux (Informatique) | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 7 | |a COMPUTERS |x Neural Networks. |2 bisacsh | |
| 650 | 7 | |a Application software |x Development |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast | |
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