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

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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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Bibliographic Details
Online Access: Full Text (via Springer)
Main Author: Silaparasetty, Nikita (Author)
Format: eBook
Language:English
Published: [Berkeley, Calif.] : Apress, [2020]
Subjects:
TensorFlow.
Machine learning.
Python (Computer program language)
Information visualization.
Table of Contents:
  • 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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