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2. Autoencoder - Wikipedia

   en.wikipedia.org/wiki/Autoencoder

   t. e. An autoencoder is a type of artificial neural network used to learn efficient codings of unlabeled data ( unsupervised learning ). [1] [2] 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. Transformer (deep learning architecture) - Wikipedia

   en.wikipedia.org/wiki/Transformer_(deep_learning...

   Encoder-decoder architecture. Like earlier seq2seq models, the original transformer model used an encoder-decoder architecture. The encoder consists of encoding layers that process the input tokens iteratively one layer after another, while the decoder consists of decoding layers that iteratively process the encoder's output as well as the ...

4. High Efficiency Video Coding implementations and products

   en.wikipedia.org/wiki/High_Efficiency_Video...

   The HEVC MainConcept SDK includes a decoder, encoder, and transport multiplexer for Microsoft Windows, macOS, Linux, iOS, and Android. [8] The HEVC MainConcept SDK encoder was demonstrated at the IBC 2012 trade show. [8] [9] On September 9, 2012, ATEME demonstrated at the IBC 2012 trade show a HEVC encoder that encoded video with a resolution ...

5. Seq2seq - Wikipedia

   en.wikipedia.org/wiki/Seq2seq

   It uses an encoder-decoder to accomplish few-shot learning. The encoder outputs a representation of the input that the decoder uses as input to perform a specific task, such as translating the input into another language. The model outperforms the much larger GPT-3 in language translation and summarization.

6. List of open-source codecs - Wikipedia

   en.wikipedia.org/wiki/List_of_open-source_codecs

   VideoLAN dav1d – An AV1 decoder for decoding videos with AV1 codec; Xiph.Org rav1e – An AV1 encoder written in Rust; Google libgav1 – An AV1 decoder by Google; xvc – An open source video codec, aiming to compete with h.265 and AV1. The reference implementation is released under the LGPL 2.1 and currently available in version 2.0 (as of ...

7. Encoding/decoding model of communication - Wikipedia

   en.wikipedia.org/wiki/Encoding/decoding_model_of...

   In the process of encoding, the sender (i.e. encoder) uses verbal (e.g. words, signs, images, video) and non-verbal (e.g. body language, hand gestures, face expressions) symbols for which he or she believes the receiver (that is, the decoder) will understand. The symbols can be words and numbers, images, face expressions, signals and/or actions.