100 Days of Deep Learning - Scaled Dot Product Attention | Why do we scale Self Attention?

Scaling Self Attention in Scaled Dot Product Attention is crucial for stabilizing training, optimizing dataset utilization, and improving the model's ability to focus on relevant information within sequences by standardizing the variance of dot products. Notes: https://learnwith.campusx.in/s/store/courses/YouTube%20Notes ============================ Did you like my teaching style? Check my affordable mentorship program at : https://learnwith.campusx.in/s/store ============================ 📱 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] 💭Share your thoughts, experiences, or questions in the comments below. I love hearing from you! ✨ Hashtags✨ #ScaledDotproductAttention #DeepLearning #campusx ⌚Time Stamps⌚ 00:00 - Intro 00:45 - Revision 05:00 - The Why 07:25 - The What 42:32 - Summarizing the concept 49:49 - Outro