Data compression with neural networks

  • What is the use of data compression in networking?

    Introduction.
    Data compression reduces the size of data frames to be transmitted over a network link.
    Reducing the size of a frame reduces the time required to transmit the frame across the network..

Can recurrent neural network predictors compress synthetic datasets?

We combine recurrent neural network predictors with an arithmetic coder and losslessly compress a variety of synthetic, text and genomic datasets.
The proposed compressor outperforms Gzip on the real datasets and achieves near-optimal compression for the synthetic datasets.


Categories

Data compression with deep probabilistic models
Data compression wizard
Data compression worksheet
Data compression with finite windows
Data compression what is it
Data compression web browser
Data compression with examples
Data compression websocket
Data compression works on
Data compression wav
Data compression what is it used for
Data compression with quantum
Data compression xz
Data compression format xz
Xor data compression
Xilinx data compression
Xkcd data compression
Xlabs data compression
Xz data compression lzma
Compress data xml