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




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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)

Deep learning playlist: https://www.youtube.com/playlist?list=PLeo1K3hjS3uu7CxAacxVndI4bE_o3BDtO
Machine learning playlist : https://www.youtube.com/playlist?list=PLeo1K3hjS3uvCeTYTeyfe0-rN5r8zn9rw  

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❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers’.

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Comment List

  • codebasics
    January 23, 2021

    Make a video on optimisers

  • codebasics
    January 23, 2021

    I have recently started your data science tutorials especially I have been doing python and statistics learning, I have no fear on programming concepts but problem comes from when it comes to machine learning which brings me back to my days of school like algebra, matrix and calculus so is there a short path that can help me to cover those areas? can i be data scientist while I am normal at math?

  • codebasics
    January 23, 2021

    Sir how many tutorials are still remaining to complete this deep learning playlist ?
    Or how much we have covered this deep learning playlist so far in terms of percentage ?

  • codebasics
    January 23, 2021

    Sir, Can I really get ML internship in 2 months if I work hard these 2 months 12-14 hrs a day and learn Ml and NN. Cause if I can't I don't want to spend that much time in it if it won't work..sir are are you sure that I can do it. Cause sis you are the only one I know who can help me right now.
    Please Sir Do You Think That I Can Do It In 2 Months.

  • codebasics
    January 23, 2021

    Please release all videos as soon as possible. 🙏🏻

  • codebasics
    January 23, 2021

    👍🏻👍🏻

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