diff --git a/examples/cifar10_cnn.py b/examples/cifar10_cnn.py
index bbb774aac..f81034954 100644
--- a/examples/cifar10_cnn.py
+++ b/examples/cifar10_cnn.py
@@ -13,7 +13,6 @@ from keras.preprocessing.image import ImageDataGenerator
 from keras.models import Sequential
 from keras.layers import Dense, Dropout, Activation, Flatten
 from keras.layers import Convolution2D, MaxPooling2D
-from keras.optimizers import SGD
 from keras.utils import np_utils
 
 batch_size = 32
@@ -60,10 +59,9 @@ model.add(Dropout(0.5))
 model.add(Dense(nb_classes))
 model.add(Activation('softmax'))
 
-# Let's train the model using SGD + momentum:
-sgd = SGD(lr=0.01, decay=1e-6, momentum=0.9, nesterov=True)
+# Let's train the model using RMSprop
 model.compile(loss='categorical_crossentropy',
-              optimizer=sgd,
+              optimizer='rmsprop',
               metrics=['accuracy'])
 
 X_train = X_train.astype('float32')