keras中的目标函数和优化函数MSE

mean_squared_error / mse  均方误差，常用的目标函数，公式为((y_pred-y_true)**2).mean()

model = Sequential()    
model.add(Dense(64, init='uniform', input_dim=10))    
model.add(Activation('tanh'))    
model.add(Activation('softmax'))    
     
sgd = SGD(lr=0.1, decay=1e-6, momentum=0.9, nesterov=True)    
model.compile(loss='mean_squared_error', optimizer=sgd)