Deep Learning With Tensorflow 2.0, Keras and Python - Vanishing and exploding gradients | Deep Learning Tutorial 35 (Tensorflow, Keras & Python)

Vanishing gradient is a commong problem encountered while training a deep neural network with many layers. In case of RNN this problem is prominent as unrolling a network layer in time makes it more like a deep neural network with many layers. In this video we will discuss what vanishing and exploding gradients are in artificial neural network (ANN) and in recurrent neural network (RNN) Do you want to learn technology from me? Check https://codebasics.io/ for my affordable video courses. Deep learning playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO Machine learning playlist : https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw   #vanishinggradient #gradient #gradientdeeplearning #deepneuralnetwork #deeplearningtutorial #vanishing #vanishingdeeplearning 🌎 Website: https://codebasics.io/ 🎥 Codebasics Hindi channel: https://www.youtube.com/channel/UCTmFBhuhMibVoSfYom1uXEg #️⃣ Social Media #️⃣ 🔗 Discord: https://discord.gg/r42Kbuk 📸 Instagram: https://www.instagram.com/codebasicshub/ 🔊 Facebook: https://www.facebook.com/codebasicshub 📱 Twitter: https://twitter.com/codebasicshub 📝 Linkedin: https://www.linkedin.com/company/codebasics/ ❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.