Machine learning concepts with Python and the Jupyter Notebook environment : using Tensorflow 2.0 /

Create, execute, modify, and share machine learning applications with Python in the Jupyter Notebook environment. This book breaks down any barriers to programming machine learning applications through the use of Jupyter Notebooks instead of a text editor or a regular IDE. Youll start by learning fu...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Silaparasetty, Nikita (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Berkeley, CA] : Apress, [2020]
Temas:
TensorFlow.
Machine learning.
Python (Computer program language)
Information visualization.
Apprentissage automatique.
Python (Langage de programmation)
Visualisation de l'information.
Artificial intelligence.
Computers > Intelligence (AI) & Semantics.
Information visualization
Machine learning
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Chapter 1: An Overview of Artificial Intelligence
  • Chapter 2: An Overview of Machine Learning
  • Chapter 3: Introduction to Deep Learning
  • Chapter 4: Machine Learning Versus Deep Learning
  • Chapter 5: Machine Learning with Python
  • Chapter 6: Introduction to Jupyter Notebooks
  • Chapter 7: Python Programming on the Jupyter Notebook
  • Chapter 8: The Tensorflow Machine Learning Library
  • Chapter 9: Programming with Tensorflow 1.0
  • Chapter 10: Introducing TensorFlow 2.0
  • Chapter 11: Machine Learning Programming with TensorFlow 2.0.

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