How to pronounce“encoder”in English

encoder right which takes your input takes a linear combination passes it through some nonlinearity the sigmoid nonlinearity or could be rectified

particular task task but generally I haven't seen people doing a lot of pre-processing using PCA uh for training you know variational encoders any more question yes there's one queries regarding uh binary RBMs

The encoder with self-attention decoder with attention looking back at the input sequence.

The encoder-decoder architecture in recurrent neural networks used very much when the sequence on the input and the sequence and the output are not relied to be of the same length.

the encoder decoder or formulation of the problem really solidifying this the place of the encoder/decoder framework for the

the encoder decoder framework of a fully accomplished in your network it replaces the fully connected layers with the convolutional layers deconvolution

deterministic encoder and then the distribution of these auxiliary variables really don't depend on parameters.