diff --git a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md
index 6df60220cc..68d6fe88e7 100644
--- a/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md
+++ b/curriculum/challenges/english/11-machine-learning-with-python/tensorflow/natural-language-processing-with-rnns-sentimental-analysis.md
@@ -20,7 +20,7 @@ Fill in the blanks below to create the model for the RNN:
 model = __A__.keras.Sequential([
     __A__.keras.layers.__B__(88584, 32),
     __A__.keras.layers.__C__(32),
-    __A__.keras.layers.DENSE(1, activation='sigmoid')
+    __A__.keras.layers.Dense(1, activation='sigmoid')
 ])
 ```