Update intermediate_source/char_rnn_classification_tutorial.py

mgs28 · svekars · web-flow · commit 2d460548b3a5 · 2024-10-30T21:24:14.000-04:00
Co-authored-by: Svetlana Karslioglu &lt;svekars@meta.com&gt;
diff --git a/intermediate_source/char_rnn_classification_tutorial.py b/intermediate_source/char_rnn_classification_tutorial.py
@@ -285,7 +285,7 @@ def label_from_output(output, output_labels):
 # have it make guesses, and tell it if it's wrong.
 #
 # We do this by defining a ``train()`` function which trains the model on a given dataset using minibatches. RNNs 
-# train similar to other networks so for completeness we include a batched training method here.
+# RNNs are trained similarly to other networks; therefore, for completeness, we include a batched training method here.
 # The loop (``for i in batch``) computes the losses for each of the items in the batch before adjusting the 
 # weights. This operation is repeated until the number of epochs is reached. 
 

Original file line number	Diff line number	Diff line change
`@@ -285,7 +285,7 @@ def label_from_output(output, output_labels):`
`285`	`285`	`# have it make guesses, and tell it if it's wrong.`
`286`	`286`	`#`
`287`	`287`	# We do this by defining a ``train()`` function which trains the model on a given dataset using minibatches. RNNs
`288`		`-# train similar to other networks so for completeness we include a batched training method here.`
	`288`	`+# RNNs are trained similarly to other networks; therefore, for completeness, we include a batched training method here.`
`289`	`289`	# The loop (``for i in batch``) computes the losses for each of the items in the batch before adjusting the
`290`	`290`	`# weights. This operation is repeated until the number of epochs is reached.`
`291`	`291`