Why need Pytorch ? Installation software & basic pytorch code in Google Colab in bangla

Published: 30 July 2021
on channel: Easily CSE Learn

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PyTorch supports dynamic computational graphs, which means the network behavior can be changed programmatically at runtime .

PyTorch is faster than TensorFlow is that writing optimal code in PyTorch is MUCH easier! This is due to PyTorch's excellent documentation, dynamic graph, and easy synchronic data-parallel processing .

Just watch setup your views.py .
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