Consider the following model, which has an image input of shape (32, 32, 3) (that's (height, width, channels)) and a time series input of shape (None, 10) (that's (timesteps, features)). Our model will have two outputs computed from the combination of these inputs: a "score" (of shape (1,)) and a probability distribution over five classes (of shape (5,)).