How to build a multiple input graph with tensor flow?
<p>Is it possible to define a TensorFlow graph with more than one input?
For instance, I want to give the graph two images and one text, each one is processed by a bunch of layers with a fc layer at the end. Then there is a node that computes a loss function that takes into account the three representations. The aim is to let the three nets to backpropagate considering the joint representation loss.
Is it possible? any example/tutorial about it?</p>