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  2. Autoencoder - Wikipedia

    en.wikipedia.org/wiki/Autoencoder

    An autoencoder is a type of artificial neural network used to learn efficient codings of unlabeled data (unsupervised learning).An autoencoder learns two functions: an encoding function that transforms the input data, and a decoding function that recreates the input data from the encoded representation.

  3. Variational autoencoder - Wikipedia

    en.wikipedia.org/wiki/Variational_autoencoder

    The KL-D from the free energy expression maximizes the probability mass of the q-distribution that overlaps with the p-distribution, which unfortunately can result in mode-seeking behaviour. The "reconstruction" term is the remainder of the free energy expression, and requires a sampling approximation to compute its expectation value. [8]

  4. x264 - Wikipedia

    en.wikipedia.org/wiki/X264

    x264 is a free and open-source software library and a command-line utility developed by VideoLAN for encoding video streams into the H.264/MPEG-4 AVC video coding format. [2] It is released under the terms of the GNU General Public License. [2]

  5. List of open-source codecs - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source_codecs

    There is also FAAC, the same project's encoder, but it is proprietary (but still free of charge). libgsm – Lossy compression ; opencore-amr – Lossy compression (AMR and AMR-WB) liba52 – a free ATSC A/52 stream decoder (AC-3) libdca – a free DTS Coherent Acoustics decoder; Codec2 – Low bitrate compression, primarily voice

  6. Comparison of video codecs - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_video_codecs

    The quality the codec can achieve is heavily based on the compression format the codec uses. A codec is not a format, and there may be multiple codecs that implement the same compression specification – for example, MPEG-1 codecs typically do not achieve quality/size ratio comparable to codecs that implement the more modern H.264 specification.

  7. Deep learning super sampling - Wikipedia

    en.wikipedia.org/wiki/Deep_learning_super_sampling

    The first iteration of DLSS is a predominantly spatial image upscaler with two stages, both relying on convolutional auto-encoder neural networks. [23] The first step is an image enhancement network which uses the current frame and motion vectors to perform edge enhancement, and spatial anti-aliasing. The second stage is an image upscaling step ...

  8. Movie Review: Auto pioneer Enzo Ferrari gets a solid biopic ...

    www.aol.com/news/movie-review-auto-pioneer-enzo...

    The movie tends to lose itself — maybe fetishize — Italian artistry: tailored shirts, fountain pens, curving exhaust manifolds, cappuccino cups and the gloriousness of Italy’s cobble-street ...

  9. Wikipedia:Database download - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Database_download

    To update an offline Wiki for WikiTaxi, download and import a more recent database dump. For WikiTaxi reading, only two files are required: WikiTaxi.exe and the .taxi database. Copy them to any storage device (memory stick or memory card) or burn them to a CD or DVD and take your Wikipedia with you wherever you go!