Max over time pooling in Keras

问题

I'm using CNNs in Keras for an NLP task and instead of max pooling, I'm trying to achieve max over time pooling.

Any ideas/hacks on how to achieve this?

What I mean by max over time pooling is to pool the highest value, no matter where they are in the vector

回答1:

Assuming that your data shape is (batch_size, seq_len, features) you may apply:

seq_model = Reshape((seq_len * features, 1))(seq_model)
seq_model = GlobalMaxPooling1D()(seq_model)

来源：https://stackoverflow.com/questions/41958115/max-over-time-pooling-in-keras