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"Attention Is All You Need" presented by Maroua Maachou (Veepee)

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Paris Women in Machine Learning and Data Science
Paris Women in Machine Learning and Data Science

"Attention Is All You Need" (Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, https://bit.ly/2y7yAD2 presented by Maroua Maachou (Veepee)

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Google Brain - Google Research | Presentation by MAACHOU Maroua Attention is all you need
TABLE OF CONTENTS Background General Idea 01 02 03 04 05 Encoder Decoder Encoder - Decoder Attention mechanism More Details Self - Attention explained
Background 01
Seq2Seq models - RNN
Problems in usual Seq2Seq model → Difficulty to summarize long-term dependencies → The need of a contextual embedding for the elements of the sequence → Slow and difficult models to train
A General Idea 02
Transformer Model
Encoder 03 Self-Attention Explained
Architecture
Self-Attention
Decoder 04 Decoding Attention Mechanism
General Architecture
The Attention Mechanism
More details 05
Multi-Headed Attention
Positional Encoding
CREDITS: This presentation template was created by Slidesgo, including icons by Flaticon, and infographics & images by Freepik. Please keep this slide for attribution. Does anyone have any questions? marouamaachou@gmail.com THANKS
■ The Paper : https://arxiv.org/pdf/1706.03762.pdf ■ The Illustrated Transformer : http://jalammar.github.io/illustrated-transformer/ ■ The Annotated Transformer : https://nlp.seas.harvard.edu/2018/04/03/attention.html ■ Stanford NLP course : https://www.youtube.com/watch?v=XXtpJxZBa2c&list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY4 2z&index=8 ■ Attention and Augmented Recurrent Neural Networks : https://distill.pub/2016/augmented-rnns/ ■ Other Attention Mechanisms : https://lilianweng.github.io/lil-log/2018/06/24/attention-attention.html#a-family-of-attention-mecha nisms ■ My Implementation : https://github.com/marouamaachou RESOURCES

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