The architecture of this model combines each user's features and his historical event lists by sequence-to-sequence (Seq2Seq) structure and make predictions based on his recent event lists. We also ...

Encoding and decoding must be done in real-time and the distortion measure does not tolerate delays. The structure of real-time encoding and decoding strategies that jointly minimize an average ...

Pick from a selection of pretrained models or upload your own that you can train with the train_autoencoder demo. Train Autoencoder: Takes you through all the steps to convert audio files into a ...

This is an autoencoder with cylic loss and coding parsing loss for image compression and reconstruction. Network backbone is simple 3-layer fully conv (encoder) and symmetrical for decoder. Finally it ...

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