Hello everyone,
I am going to use 1D convolutions to learn representations of time series data. I plan to use an Encoder-Decoder architecture. The input shape is like: [batch_size, num_features, num_timesteps]; the outputs of the encoder should be like: [batch_size, length]; i.e., I wish to get a fixed-length representation for each sequence. It seems that the length of the outputs depends on the original length of the sequence of the batch. Is there a method that I can define the length of the outputs of the encoder regardless of the length(num_timesteps) of the original sequence?