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tensor vs numpy array

coder answered on March 23, 2021 Popularity 9/10 Helpfulness 6/10

answer tensor vs numpy array

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tensor vs numpy array

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A tensor is a more suitable choice if you’re going to be using GPU’s as it can reside in accelerators memory.
Tensors are similar to NumPy’s ndarrays, except that tensors can run on GPUs
or other specialized hardware to accelerate computing.
Tensors are immutable

Popularity 9/10 Helpfulness 6/10 Language python

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Contributed on Feb 01 2022

coder

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numpy vs tensorflow

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Tensorflow is a library for artificial intelligence, especially machine learning.
Numpy is a library for doing numerical calculations.
NumPy and TensorFlow are actually very similar in many respects.
Both are, essentially, array manipulation libraries, built around the concept of tensors (or nd-arrays, in NumPy terms).

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Contributed on Mar 23 2021

Adam Al-Rahman

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tensor vs numpy array

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