Fix loss_D definition in dcgan tutorial (#1051)

mariosasko · holly1238 · web-flow · commit f1a94fb15117 · 2021-04-12T11:10:17.000-07:00
Co-authored-by: holly1238 &lt;77758406+holly1238@users.noreply.github.com&gt;
diff --git a/beginner_source/dcgan_faces_tutorial.py b/beginner_source/dcgan_faces_tutorial.py
@@ -554,7 +554,7 @@ def forward(self, input):
 # reported are:
 # 
 # -  **Loss_D** - discriminator loss calculated as the sum of losses for
-#    the all real and all fake batches (:math:`log(D(x)) + log(D(G(z)))`).
+#    the all real and all fake batches (:math:`log(D(x)) + log(1 - D(G(z)))`).
 # -  **Loss_G** - generator loss calculated as :math:`log(D(G(z)))`
 # -  **D(x)** - the average output (across the batch) of the discriminator
 #    for the all real batch. This should start close to 1 then

Original file line number	Diff line number	Diff line change
`@@ -554,7 +554,7 @@ def forward(self, input):`
`554`	`554`	`# reported are:`
`555`	`555`	`#`
`556`	`556`	`# - Loss_D - discriminator loss calculated as the sum of losses for`
`557`		-# the all real and all fake batches (:math:`log(D(x)) + log(D(G(z)))`).
	`557`	+# the all real and all fake batches (:math:`log(D(x)) + log(1 - D(G(z)))`).
`558`	`558`	# - Loss_G - generator loss calculated as :math:`log(D(G(z)))`
`559`	`559`	`# - D(x) - the average output (across the batch) of the discriminator`
`560`	`560`	`# for the all real batch. This should start close to 1 then`