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Fix polynomial_autograd documentation to match implementation #3663

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Fix polynomial_autograd documentation to match implementation #3663

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5 changes: 3 additions & 2 deletions beginner_source/examples_autograd/polynomial_autograd.py
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Expand Up @@ -2,8 +2,9 @@
PyTorch: Tensors and autograd
-------------------------------

A third order polynomial, trained to predict :math:`y=\sin(x)` from :math:`-\pi`
to :math:`\pi` by minimizing squared Euclidean distance.
A third order polynomial, trained to predict :math:`y=e^x` from :math:`-1`
to :math:`1` by minimizing squared Euclidean distance. The exponential function
can be approximated by its Taylor expansion: :math:`e^x \approx 1 + x + \frac{x^2}{2} + \frac{x^3}{6} + \ldots`

This implementation computes the forward pass using operations on PyTorch
Tensors, and uses PyTorch autograd to compute gradients.
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