In this video, I'll try to present a comprehensive study on Ashish Vaswani and his coauthors' renowned paper, “attention is all you need”
This paper is a major turning point in deep learning research. The transformer architecture, which was introduced in this paper, is now used in a variety of stateoftheart models in natural language processing and beyond.

Chapters:
0:00 Abstract
0:39 Introduction
2:44 Model Details
3:20 Encoder
3:30 Input Embedding
5:22 Positional Encoding
11:05 SelfAttention
15:38 MultiHead Attention
17:31 Add and Layer Normalization
20:38 Feed Forward NN
23:40 Decoder
23:44 Decoder in Training and Testing Phase
27:31 Masked MultiHead Attention
30:03 Encoderdecoder SelfAttention
33:19 Results
35:37 Conclusion

Link to the paper:
https://arxiv.org/abs/1706.03762

Authors:
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin
Helpful Links:
"Vectoring Words (Word Embeddings)" by Computerphile:
   • Vectoring Words (Word Embeddings)  C...  
"Transformer Architecture: The Positional Encoding" by Amirhossein Kazemnejad:
https://kazemnejad.com/blog/transform...
"The Illustrated Transformer" by Jay Alammar:
https://jalammar.github.io/illustrate...
Lennart Svensson's Video on Masked selfattention:
   • Transformers  Part 7  Decoder (2): ...  
Lennart Svensson's Video on Encoderdecoder selfattention:
   • Transformer  Part 8  Decoder (3): E...  
I'd like to express my gratitude to Dr. Nasersharif, my supervisor, for suggesting this paper to me.

‍♂ Find me on: https://linktr.ee/HalflingWizard

#Transformer #Attention #Deep_Learning