[Project] Fixed input and variable output neural network
I need some advice on choosing a neural network type which is suitable for the application described below.
I have a data set with 39600 samples/entries, each sample has an image and a corresponding vector of variable length.
I want to create a neural network capable of predicting the vector associated with image based solely on the image.
So, I need a neural network which accepts a fixed length input (the image) and outputs a vector of variable length.
How can this be achieved?