diff --git a/beginner_source/examples_autograd/polynomial_autograd.py b/beginner_source/examples_autograd/polynomial_autograd.py
index d33ca8bcb90..abbda9a420e 100755
--- a/beginner_source/examples_autograd/polynomial_autograd.py
+++ b/beginner_source/examples_autograd/polynomial_autograd.py
@@ -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.