How to implement a Mean Pooling layer in Keras

Question

There seems no built-in support for Mean Pooling layer for RNN in Keras. Anyone knows how to wrap one?

http://deeplearning.net/tutorial/lstm.html

Answer 1

Keras has a layer AveragePooling1D for that. If you use the graph API, you should be able to do something like:

model.add_node(AveragePooling1D(...), 
               inputs=['h0', 'h1', ..., 'hn'], 
               merge_mode='concat', ...)