Artificial neural networks with TensorFlow 2 : ANN architecture machine learning projects

Artificial neural networks with TensorFlow 2 ANN architecture machine learning projects

Develop machine learning models across various domains. This book offers a single source that provides comprehensive coverage of the capabilities of TensorFlow 2 through the use of realistic, scenario-based projects. After learning what's new in TensorFlow 2, you'll dive right into develop...

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Detalles Bibliográficos
Otros Autores: Sarang, Poornachandra, author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: [Place of publication not identified] : Apress [2021]
Edición:1st ed. 2021.
Materias:
TensorFlow.
Neural networks (Computer science)
Machine learning.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631404706719
Tabla de Contenidos:
  • Chapter 1: TensorFlow Jump Start
  • Chapter 2: A Closer Look at TensorFlow
  • Chapter 3: Deep Dive in tf.keras
  • Chapter 4: Transfer Learning
  • Chapter 5: Neutral Networks for Regression
  • Chapter 6: Estimators
  • Chapter 7: Text Generation
  • Chapter 8: Language Translation
  • Chapter 9: Natural Langauge
  • Chapter 10: Image Captioning
  • Chapter 11: Time Series
  • Chapter 12: Style Transfer
  • Chapter 13: Image Generation- Chapter 14: Image Translation.

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