August 2018
Intermediate to advanced
422 pages
12h 39m
English
Content preview from TensorFlow Machine Learning Cookbook - Second Edition
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Declaring variables and tensors
Tensors are the primary data structure that TensorFlow uses to operate on the computational graph. We can declare these tensors as variables and/or feed them in as placeholders. To do this, first, we must learn how to create tensors.
A tensor is a mathematical term that refers to generalized vectors or matrices. If vectors are one-dimensional and matrices are two-dimensional, a tensor is n-dimensional (where n could be 1, 2, or even larger).
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