tensorflow - How to train multiple neural network models with Keras? -


i'm interested in training ensemble of models both diverse , accurate. wanted experiment different hyper-parameter settings, architectures, initializations , optimizers. wondering if there's tensorflow equivalent of graph scope or session scope in keras? there equivalent of tf.global_variables_initializer() in keras? ways of training multiple models in keras?


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