“Numpy vs tensorflow” Ответ

Тенсор против Numpy Array

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

Ответы похожие на “Numpy vs tensorflow”

Вопросы похожие на “Numpy vs tensorflow”

Больше похожих ответов на “Numpy vs tensorflow” по Python

Смотреть популярные ответы по языку

Смотреть другие языки программирования