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1 parent 49fe71d commit 666e12aCopy full SHA for 666e12a
beginner_source/blitz/autograd_tutorial.py
@@ -170,14 +170,12 @@
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# vector-Jacobian product. That is, given any vector :math:`\vec{v}`, compute the product
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# :math:`J^{T}\cdot \vec{v}`
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#
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-# If :math:`v` happens to be the gradient of a scalar function
+# If :math:`\vec{v}` happens to be the gradient of a scalar function :math:`l=g\left(\vec{y}\right)`:
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# .. math::
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-# l
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-# =
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-# g\left(\vec{y}\right)
+# \vec{v}
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# =
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# \left(\begin{array}{ccc}\frac{\partial l}{\partial y_{1}} & \cdots & \frac{\partial l}{\partial y_{m}}\end{array}\right)^{T}
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