100 Days of Deep Learning - How Backpropagation works in RNN | Backpropagation Through Time

This video dives into the mechanics of Backpropagation in Recurrent Neural Networks (RNNs), specifically exploring the concept of Backpropagation Through Time (BPTT). Learn how RNNs handle the flow of gradients over time, allowing the network to learn and optimize for sequential data. 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 👍If you find this video helpful, consider giving it a thumbs up and subscribing for more educational videos on data science! 💭Share your thoughts, experiences, or questions in the comments below. I love hearing from you! ⌚Time Stamps⌚ 00:00 - Intro 00:22 - Summary of Previous lectures 01:59 - How Backpropagation works? 33:30 - Outro