Effective Approaches To Attention Based Neural Machine Translation - Paper Explained

In this video, I present the key ideas of the paper "Effective Approaches to Attention-based Neural Machine Translation."
This paper is one of the most important papers in the field of neural machine translation and in deep learning in general.
The central idea of this paper is the implementation of a new kind of attention: local attention, which is computationally more efficient and also has better performance than the previous ways of applying the attention.

📑 Chapters:
0:00 Introduction
0:53 Neural Machine Translation & Attention-based Models
3:23 Global Attention
6:10 Local Attention
9:11 Results
11:30 Analysis
12:52 Conclusion

📝 Link to the paper:
👥 Authors:
Minh-Thang Luong, Hieu Pham, and Christopher D. Manning.
🙏 I'd like to express my gratitude to Dr. Nasersharif, my supervisor, for suggesting this paper to me.

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#Attention #machine_translation #nlp #deep_learning