April 2019
Intermediate to advanced
426 pages
11h 13m
English
The Tensor in TensorFlow indicates that the frameworks define and run computations involving tensors. A tensor is nothing more than a type of n-dimensional vector with certain transformative properties. A non-dimensional tensor is a scalar or number. A one-dimensional tensor is a vector. A two-dimensional tensor is a matrix. Tensors offer more natural representations of data, for example in images in the field of computer vision.
The basic properties of vector spaces and the elementary mathematical properties of tensors make them particularly useful in physics and engineering.
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