A complete end-to-end playlist on Deep Learning where topics like ANN, CNN, and RNN are covered.
Curated by: CampusX (84 videos)
In this video, we explore the common challenges and problems associated with Recurrent Neural Networks (RNNs). From vanishing and exploding gradients to difficulties in capturing long-term dependencies, we delve into the limitations of RNNs. 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 00:48 - Problem with RNN 09:02 - Problem of long term dependency 26:41 - Solutions #deeplearning #machinelearning #datascience