Keras save and load model

keras_save_load.py

from keras.models import model_from_yaml

def saveModel(model, savename):
    # serialize model to YAML
    model_yaml = model.to_yaml()
    with open(savename+".yaml", "w") as yaml_file:
        yaml_file.write(model_yaml)
    print("Yaml Model ",savename,".yaml saved to disk")
    # serialize weights to HDF5
    model.save_weights(savename+".h5")
    print("Weights ",savename,".h5 saved to disk")
    
def loadModel(savename):
    with open(savename+".yaml", "r") as yaml_file:
        model = model_from_yaml(yaml_file.read())
    print "Yaml Model ",savename,".yaml loaded "
    model.load_weights(savename+".h5")
    print "Weights ",savename,".h5 loaded "
    return model