loading saved keras model from gs to pydatalab

Question

My keras model is saved in google storage with model.save(model_name)

I cannot load the model on pydatalab. When I save the model on my local machine, I can just ope

Answer 1

The following function works for retraining an already trained keras model (with new data) on gcloud machine learning platform (Thanks to Tíarnán McGrath).

def load_models(model_file):

    model = conv2d_model() #the architecture of my model, not compiled yet
    file_stream = file_io.FileIO(model_file, mode='r')
    temp_model_location = './temp_model.h5'
    temp_model_file = open(temp_model_location, 'wb')
    temp_model_file.write(file_stream.read())
    temp_model_file.close()
    file_stream.close()
    model.load_weights(temp_model_location)

    return model

For some reason, load_model from keras.models does not work for me anymore, so I have to build the model each time.