I am looking to create a neural network architecture that takes two kinds of inputs: image and text, and outputs a predicted continuous variable. More specifically, I will have multiple images of a house as an input alongside numerical/text data like square meters, number of beds, baths, carspaces, latitude, longitude, features etc. I want to use this to output the predicted price value of the given house.
I understand you can combine image and text inputs as seen here:
Could I use a similar model for the situation I described? If so, what kind of neural network architecture should I use for the image and numeric/text input streams, and how would I combine them?