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.
Digital Notes for Deep Learning: shorturl.at/NGtXg
============================
Did you like my teaching style?
Check my affordable mentorship program at : learnwith.campusx.in/s/store
============================
📱 Grow with us:
CampusX' LinkedIn: www.linkedin.com/company/campusx-official
CampusX on Instagram for daily tips: www.instagram.com/campusx.official
My LinkedIn: www.linkedin.com/in/nitish-singh-03412789
Discord: discord.gg/PsWu8R87Z8
E-mail us at support@campusx.in
💭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 - Out
CampusX