TensorFlow 2.0 quick start guide : get up to speed with the newly introduced features of TensorFlow 2.0 /

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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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Holdroyd, Tony (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing, 2019.
Temas:
TensorFlow.
Application software > Development.
Neural networks (Computer science)
Machine learning.
Logiciels d'application > Développement.
Réseaux neuronaux (Informatique)
Apprentissage automatique.
COMPUTERS > Neural Networks.
Application software > Development
Machine learning
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • 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.

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