Adadelta optimizer as described in ADADELTA: An Adaptive Learning Rate Method.
optimizer_adadelta(lr = 1, rho = 0.95, epsilon = NULL, decay = 0,
clipnorm = NULL, clipvalue = NULL)float >= 0. Learning rate.
float >= 0. Decay factor.
float >= 0. Fuzz factor. If NULL, defaults to k_epsilon().
float >= 0. Learning rate decay over each update.
Gradients will be clipped when their L2 norm exceeds this value.
Gradients will be clipped when their absolute value exceeds this value.
Other optimizers: optimizer_adagrad,
optimizer_adamax,
optimizer_adam,
optimizer_nadam,
optimizer_rmsprop,
optimizer_sgd