TensorFlow Machine Learning Cookbook (Packt)
Wednesday, 12 April 2017

This book will teach you how to use TensorFlow for complex data computations and Author Nick McClure will let you dig deeper and gain more insights into your data than ever before. You'll work through recipes on training models, model evaluation, sentiment analysis, regression analysis, clustering analysis, artificial neural networks, and deep learning.

<ASIN:1786462168>

This guide starts with the fundamentals of the TensorFlow library which includes variables, matrices, and various data sources. Moving ahead, you will get hands-on experience with Linear Regression techniques with TensorFlow. The next chapters cover important high-level concepts such as neural networks, CNN, RNN, and NLP.

Author: Nick McClure
Publisher: Packt Publishing
Date: February 2017
Pages: 370
ISBN: 978-1786462169
Print: 1786462168
Kindle: B01HY3TC54
Audience: Developers interested in Machine Learning.
Level: Intermediate/
Category: Artificial Intelligence 

 

  • Become familiar with the basics of the TensorFlow machine learning library
  • Get to know Linear Regression techniques with TensorFlow
  • Learn SVMs with hands-on recipes
  • Implement neural networks and improve predictions
  • Apply NLP and sentiment analysis to your data
  • Master CNN and RNN through practical recipes
  • Take TensorFlow into production

 

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Publisher: Apress
Pages: 234
ISBN: 978-1484250037
Print: 1484250036
Kindle: B07YNL3X4X
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Rating: 4
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Author: Oswald Campesato
Publisher: Mercury Learning
Date: February 2020
Pages: 300
ISBN: 978-1683924678
Print: 1683924673
Kindle: B084P1K9YP
Audience: Developers interested in machine learning
Rating: 4
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