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Machine learningand data mining. A standard Transformer architecture, showing on the left an encoder, and on the right a decoder. Note: it uses the pre-LN convention, which is different from the post-LN convention used in the original 2017 Transformer. A transformer is a deep learning architecture developed by researchers at Google and based on ...
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 ...
Apache 2.0. Website. arxiv .org /abs /1810 .04805. Bidirectional Encoder Representations from Transformers ( BERT) is a language model introduced in October 2018 by researchers at Google. [ 1][ 2] It learned by self-supervised learning to represent text as a sequence of vectors. It had the transformer encoder architecture.
Integrated Multi Format Codec (MFC) provides encoding and decoding of MPEG-4/H.263/H.264 up to 1080p@30fps and decoding of MPEG-2/VC1/MPEG-4 video up to 1080p@30fps. Alma Technologies provides ultra low latency H.264 Encoder IP cores since 2011 capable of encoding Full HD video even on low cost FPGA devices.
The fundamental principle of ECC is to add redundant bits in order to help the decoder to find out the true message that was encoded by the transmitter. The code-rate of a given ECC system is defined as the ratio between the number of information bits and the total number of bits (i.e., information plus redundancy bits) in a given communication ...
Neural machine translation ( NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model. It is the dominant approach today [ 1]: 293 [ 2]: 1 and can produce translations that rival human translations when ...
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