The following snippet shows the use of AdaGrad with Keras:

from keras.optimizers import Adagrad

...

adagrad = Adagrad(lr=0.0001, epsilon=1e-6, decay=1e-2)

model.compile(optimizer=adagrad,
              loss='categorical_crossentropy',
              metrics=['accuracy'])

The AdaGrad implementation has no other parameters but the common ones.