diff --git a/machine_learning/neural_networks/cnn_mnist.py b/machine_learning/neural_networks/cnn_mnist.py
index 5a4bbe70dfeb..e4ef937b60bd 100644
--- a/machine_learning/neural_networks/cnn_mnist.py
+++ b/machine_learning/neural_networks/cnn_mnist.py
@@ -57,8 +57,7 @@
 model.add(layers.Dense(10, activation="softmax"))
 
 # Compile the model
-model.compile(optimizer="adam", loss="categorical_crossentropy",
-              metrics=["accuracy"])
+model.compile(optimizer="adam", loss="categorical_crossentropy", metrics=["accuracy"])
 
 # Display the model summary
 model.summary()
diff --git a/machine_learning/neural_networks/fully_connected_mnist.py b/machine_learning/neural_networks/fully_connected_mnist.py
index ac7d115af50e..24da20de8717 100644
--- a/machine_learning/neural_networks/fully_connected_mnist.py
+++ b/machine_learning/neural_networks/fully_connected_mnist.py
@@ -56,8 +56,7 @@
 
 # Compile the model
 model.compile(
-    optimizer="adam", loss="sparse_categorical_crossentropy",
-    metrics=["accuracy"]
+    optimizer="adam", loss="sparse_categorical_crossentropy", metrics=["accuracy"]
 )
 
 # Train the model on the MNIST training data