rnnmlp.py 文件源码

def SimpleRNNModel(self, nHidden=120, lr = 0.01):
                self.rnnModel.add(SimpleRNN( nHidden, input_shape =( None, self.maxFeatures), activation='sigmoid', return_sequences=True))
                self.rnnModel.add(TimeDistributedDense(self.maxFeatures))
                self.rnnModel.add(Activation('softmax'))
                rmsprop = RMSprop(lr=lr, rho=0.9, epsilon=1e-06)
                self.rnnModel.compile(loss='categorical_crossentropy', optimizer=rmsprop)