title: Merging a tensor of 3x10 to 1x10, what methods to use?
body: <p>I have made some model that in the end will output a tensor of 3 x 10. The reason why it's 3 x 10 is because the vocabulary size is 10, and there are 3 elements in a sequence (this is a sequence multilabel classification problem). This tensor will need to somehow be softmaxed to a 1x10 tensor. Can someone give me explanations about the methods that are available and maybe some example in Keras?</p>
  
  <p>I saw some merging methods in Keras like average or add. Those can be useful in this case but those seems to need two or more tensors as the input. Therefore I probably need to split the 3 x 10 tensor to 3 tensors 1 x 10 each and average them. Maybe there are better ways to achieve this?</p>