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Fix misleading typo on which term to be differentiated against #726

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Merged
merged 3 commits into from
Apr 25, 2021
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Fix misleading typo on which term to be differentiated against #726

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beginner/blitz/nn: Fix misleading typo on which term to be differenti…
rht Nov 15, 2019
06782c9
Merge branch 'master' into differentiation
holly1238 Apr 23, 2021
bfdc8f4
Merge branch 'master' into differentiation
holly1238 Apr 25, 2021
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5 changes: 3 additions & 2 deletions beginner_source/blitz/neural_networks_tutorial.py
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Expand Up @@ -176,8 +176,9 @@ def num_flat_features(self, x):
# -> loss
#
# So, when we call ``loss.backward()``, the whole graph is differentiated
# w.r.t. the loss, and all Tensors in the graph that have ``requires_grad=True``
# will have their ``.grad`` Tensor accumulated with the gradient.
# w.r.t. the neural net parameters, and all Tensors in the graph that have
# ``requires_grad=True`` will have their ``.grad`` Tensor accumulated with the
# gradient.
#
# For illustration, let us follow a few steps backward:

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