Closed khornlund closed 3 years ago
Hi @khornlund I think the pool size equals to 1, because both the size of timestep, and input features are 1 in the input shape of 1DCNN, and to apply TimeDistributed.Flatten(), MaxPooling layer is embedded before that. Let me know please if I am not correct!
This sounds resolved so closing. Thanks
Hi could you explain the purpose of the MaxPooling1D layer with size 1? Is this redundant?