Hi, I wonder if anyone here can help me.
I am looking to use Google Cloud ML to host my Keras models so that I can call the API and make some predictions. I am running into some issues from the Keras side of things.
I have also been able to train a similar model using Keras which is obviously much quicker. I can even save the model in the same export and export.meta format as I would get with TF.
from keras import backend as K
saver = tf.train.Saver()
session = K.get_session()
saver.save(session, 'export')The part I am missing is how do I add the placeholders for input and output into the graph I build on Keras?
Any help would be much appreciated.
Thanks,
Matt