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1 parent c8d3810 commit d228c10Copy full SHA for d228c10
advanced_source/cpp_frontend.rst
@@ -1015,7 +1015,7 @@ probabilities.
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is called *label smoothing*.
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Before evaluating the discriminator, we zero out the gradients of its
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-parameters. After computing the loss, we back-propagate through the network by
+parameters. After computing the loss, we back-propagate it through the network by
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calling ``d_loss.backward()`` to compute new gradients. We repeat this spiel for
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the fake images. Instead of using images from the dataset, we let the generator
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create fake images for this by feeding it a batch of random noise. We then
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