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Update cpp_autograd.rst #2035

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2 changes: 1 addition & 1 deletion advanced_source/cpp_autograd.rst
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Expand Up @@ -5,7 +5,7 @@ The ``autograd`` package is crucial for building highly flexible and dynamic neu
networks in PyTorch. Most of the autograd APIs in PyTorch Python frontend are also available
in C++ frontend, allowing easy translation of autograd code from Python to C++.

In this tutorial we'll look at several examples of doing autograd in PyTorch C++ frontend.
In this tutorial explore several examples of doing autograd in PyTorch C++ frontend.
Note that this tutorial assumes that you already have a basic understanding of
autograd in Python frontend. If that's not the case, please first read
`Autograd: Automatic Differentiation <https://pytorch.org/tutorials/beginner/blitz/autograd_tutorial.html>`_.
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