Method summary

neural_network/bpnn.py:116–120

(self)

                layer.initializer(self.layers[i-1].units)

    def summary(self):
        for i,layer in enumerate(self.layers[:]):
            print('------- layer %d -------'%i)
            print('weight.shape ',np.shape(layer.weight))
            print('bias.shape ',np.shape(layer.bias))

    def train(self,xdata,ydata,train_round,accuracy):
        self.train_round = train_round