Attention Mechanism in 1 video | Seq2Seq Networks | Encoder Decoder Architecture

In this video, we introduce the importance of attention mechanisms, provide a quick overview of the encoder-decoder structure, and explain how the workflow functions.

An attention mechanism is a key concept in the field of machine learning, particularly in the context of sequence-to-sequence (Seq2Seq) models with encoder-decoder architecture. Instead of processing an entire input sequence all at once, attention mechanisms allow the model to focus on specific parts of the input sequence while generating the output sequence. This mimics the human ability to selectively attend to different elements when processing information. Watch the video till the end to develop a deep understanding about this concept.

🔗 Research Paper: https://arxiv.org/pdf/1409.0473.pdf

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⌚Time Stamps ⌚

00:00 - 00:55 - Intro
00:56 - 08:39 - The Why
08:40 - 11:20 - The Solution
11:21 - 41:10 - The What
41:11 - 41:23 - Conclusion

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