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.
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