Introduction to Tensorflow

In this chapter we will cover Tensorflow which allows users to define mathematical functions via computational graphs and to compute their gradients. Tensorflow is conceptually similar to Theano, and Keras uses both of them as back ends.

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Veröffentlicht in:Deep Learning with Python S. 159 - 194
1. Verfasser: Ketkar, Nikhil
Format: Buchkapitel
Sprache:Englisch
Veröffentlicht: United States Apress L. P 2017
Apress
Schlagworte:
Computer programming / software development
Program concepts / learning to program
Programming & scripting languages: general
ISBN:1484227654, 9781484227657
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Abstract In this chapter we will cover Tensorflow which allows users to define mathematical functions via computational graphs and to compute their gradients. Tensorflow is conceptually similar to Theano, and Keras uses both of them as back ends.
AbstractList In this chapter we will cover Tensorflow which allows users to define mathematical functions via computational graphs and to compute their gradients. Tensorflow is conceptually similar to Theano, and Keras uses both of them as back ends.
Author Ketkar, Nikhil
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Snippet In this chapter we will cover Tensorflow which allows users to define mathematical functions via computational graphs and to compute their gradients....
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SubjectTerms Computer programming / software development
Program concepts / learning to program
Programming & scripting languages: general
Title Introduction to Tensorflow
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