File:EncoderDecoder.pdf
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An example of the Encoder-Decoder architecture commonly used in Machine Learning.
Summary
[edit]DescriptionEncoderDecoder.pdf |
English: An example of an Encoder-decoder architecture, an encoder RNN is fed some input sequence of length $T_1$. The final hidden state of the encoder is used as input to the decoder RNN for every timestep in order to generate some sequence of length $T_2$.
Both the encoder and decoder RNN could for example be LSTM units. |
Date | |
Source | Own work |
Author | Babayaga94 |
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current | 04:09, 9 August 2022 | ![]() | 1,275 × 458 (9 KB) | Babayaga94 (talk | contribs) | Uploaded own work with UploadWizard |
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Short title | Print EncoderDecoder.pdf |
---|---|
Author | John Isak |
Conversion program | Microsoft: Print To PDF |
Encrypted | no |
Page size | 612 x 220.291 pts |
Version of PDF format | 1.7 |