Lightweight implementation of the seminal paper “Sequence to Sequence Learning with Neural Networks”
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Lightweight implementation of the seminal paper “Sequence to Sequence Learning with Neural Networks”
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Built, trained and eval a 2 layer deep seq2seq LSTM-based model (~10M params) on German-English corpus of Multi30K dataset. In honor of 
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Built, trained and eval a 2 layer deep seq2seq LSTM-based model (~10M params) on German-English corpus of Multi30K dataset. In honor of 
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ilya sutskever et al for winning this year’s NeurIPSConf Test of Time paper award 🫡
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ilya sutskever et al for winning this year’s NeurIPSConf Test of Time paper award 🫡
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Code: 
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Code: 
https://github.com/Jaykef/ai-algorithms/blob/main/seq2seq.ipynb
https://github.com/Jaykef/ai-algorithms/blob/main/seq2seq.ipynb
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Lightweight implementation of the seminal paper “Sequence to Sequence Learning with Neural Networks”

Built, trained and eval a 2 layer deep seq2seq LSTM-based model (~10M params) on German-English corpus of Multi30K dataset. In honor of 
ilya sutskever et al for winning this year’s NeurIPSConf Test of Time paper award 🫡

Code: https://github.com/Jaykef/ai-algorithms/blob/main/seq2seq.ipynb
👀
John6666
👍
salti