“Numpy vs tensorflow” Respostas de código

Array Tensor vs Numpy

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

coder

Numpy vs tensorflow

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).

Adam Al-Rahman

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