100 Days of Deep Learning - Bahdanau Attention Vs Luong Attention

Bahdanau Attention and Luong Attention are two mechanisms used in the context of sequence-to-sequence models, especially in machine translation tasks. These attention mechanisms allow the model to focus on different parts of the input sequence when generating each element of the output sequence. While Bahdanau Attention introduces alignment scores, Luong Attention simplifies this process by using a global score. Understanding the differences between these attention mechanisms is crucial for optimizing performance in sequence-based tasks. 🔗Research Paper Links: Bahdanau Attention - https://arxiv.org/abs/1409.0473 Luong Attention - https://arxiv.org/abs/1508.04025 Notes: https://learnwith.campusx.in/s/store/courses/YouTube%20Notes ============================ Do you want to learn from me? Check my affordable mentorship program at : https://learnwith.campusx.in ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official CampusX on Instagram for daily tips: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 E-mail us at [email protected] ✨ Hashtags✨ #AttentionMechanism #BahdanauAttention #LuongAttention #SequenceToSequence #MachineTranslation #DeepLearning #NeuralNetworks #DataScience ⌚Time Stamps⌚ 00:00 - Intro 01:13 - Recap 14:00 - Bahdanau Attention Overview 20:12 - Neural Network Implementation 21:36 - Architecture 40:20 - Luong Attention 46:25 - Architecture