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Like earlier seq2seq models, the original transformer model used an encoder-decoder architecture. The encoder consists of encoding layers that process all the input tokens together one layer after another, while the decoder consists of decoding layers that iteratively process the encoder's output and the decoder's output tokens so far.
Additionally, the two networks are also trained to share their hidden representation; this way, the source encoder can produce a representation that the target decoder can decode. [10] Forcada and Ñeco simplified this procedure in 1997 to directly train a source encoder and a target decoder in what they called a recursive hetero-associative ...
T5 encoder-decoder structure, showing the attention structure. In the encoder self-attention (lower square), all input tokens attend to each other; In the encoder–decoder cross-attention (upper rectangle), each target token attends to all input tokens; In the decoder self-attention (upper triangle), each target token attends to present and past target tokens only (causal).
The encoder-decoder architecture, often used in natural language processing and neural networks, can be scientifically applied in the field of SEO (Search Engine Optimization) in various ways: Text Processing: By using an autoencoder, it's possible to compress the text of web pages into a more compact vector representation. This can help reduce ...
SNA—Systems Network Architecture; SNMP—Simple Network Management Protocol; SNTP—Simple Network Time Protocol; SOA—Service-Oriented Architecture; SOAP—Simple Object Access Protocol; SOAP—Symbolic Optimal Assembly Program; SOPA—Stop Online Piracy Act; SoC—System-on-a-Chip; SO-DIMM—Small Outline DIMM; SOE—Standard Operating ...
An electronic repository (and bibliography) of articles, books and papers in the field of machine translation and computer-based translation technology; Machine translation (computer-based translation) – Publications by John Hutchins (includes PDFs of several books on machine translation)
The HEVC Encoder is a software implementation on Intel x86 based platforms, capable of High Definition (HD) broadcast quality video encoding. The Decoder software available on ARM CortexTM-A9 and CortexTM-A15 based SoCs allows a wide range of existing Consumer Electronics (CE) devices such as Smartphones, Tablets, Smart TVs and Set-Top Boxes to ...
OpenAI Whisper architecture A standard Transformer architecture, showing on the left an encoder, and on the right a decoder. The Whisper architecture is based on an encoder-decoder transformer. [1] Input audio is resampled to 16,000 Hz and converting to an 80-channel log-magnitude Mel spectrogram using 25 ms windows with a 10 ms stride. The ...