The compression system trains a machine-learned encoder and decoder through an
autoencoder architecture. The encoder can be deployed by a sender system to encode
content for transmission to a receiver system, and the decoder can be deployed by the
receiver system to decode the encoded content and reconstruct the original content. The
encoder is coupled to receive content and output a tensor as a compact representation of
the content. The content may be, for example, images, videos, or text. The decoder is …