Tutorial 6- Vanishing Gradient Problem in Multilayered Neural Network- Krish Naik Hindi

Vanishing gradient problem is a phenomenon that occurs during the training of deep neural networks, where the gradients that are used to update the network become extremely small or "vanish" as they are backpropogated from the output layers to the earlier layers.
github materials: https://github.com/krishnaik06/Deep-L...
---------------------------------------------------------------------------------------------------------
Open source Contribution: https://github.com/krishnaik06/The-Gr...
-------------------------------------------------------------------------------------------------------------
All Playlist links are given below
End to End Data SciencQe Project Playlist:    • Announcing End To End Data Science Project...  
NLP Playlist:    • Natural Language Processing  
ML playlist in hindi: https://bit.ly/3NaEjJX
Stats Playlist In Hindi:https://bit.ly/3tw6k7d
Python Playlist In Hindi:https://bit.ly/3azScTI
---------------------------------------------------------------------------------------------------------------
Please donate if you want to support the channel through GPay UPID,
Gpay: krishnaik06@okicici
Telegram link: https://t.me/joinchat/N77M7xRvYUd403D...
-------------------------------------------------------------------------------------------------------------
Please join as a member in my channel to get additional benefits like materials in Data Science, live streaming for Members and many more
   / @krishnaikhindi  
-----------------------------------------------------------------------------------------------------------
Please do subscribe my other channel too
   / @krishnaikhindi  
---------------------------------------------------------------------------------------------------------
Connect with me here:
Twitter:   / krishnaik06  
Facebook:   / krishnaik06  
instagram:   / krishnaik06