Fool-proof RNN explanation | What are RNNs, how do they work?

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  • Опубликовано: 5 авг 2024
  • Recurrent Neural Networks and their variants have been the superstars of AI in the last couple of years. But how do they work under the hood? What is their structure like? How do they learn? In this video, we will answer all of those questions, step-by-step. We will first see the difference between neural networks and recurrent neural networks. We will also look into types of RNN cells such as Simple RNN cells, LSTMs and GRU cells.
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Комментарии • 49

  • @misraturp
    @misraturp  Год назад +1

    🤔 Curious about deep learning?
    Start with the Fundamentals of Deep Learning booklet to learn the essentials in 25 pages
    misraturp.gumroad.com/l/fdl

  • @user-uq9rp2xy1p
    @user-uq9rp2xy1p 3 месяца назад +3

    there are several contents on RNN which does not explain the intuition but yours is the best content i've seen which gives you the intuition and concepts in a short video thanks a lot

  • @khd_edu
    @khd_edu 3 месяца назад +1

    In only 3 minutes, I understood the concept that I couldn't understand in hours of lectures. Good Girl!

  • @misraturp
    @misraturp  2 года назад +8

    Hope this explanation was helpful for you! Did you hear anything for the first time in this video?

  • @Christina-xr6rd
    @Christina-xr6rd 2 года назад +7

    Ahh this is exactly what I needed! Thank you so much for explaining RNNs in such a clear way :) Keep up the great work - I'm sure it's much appreciated by lots of viewers!

    • @misraturp
      @misraturp  2 года назад

      That’s great to hear Christina! I’m glad it was helpful. :)

  • @user-ne6mo2ey2u
    @user-ne6mo2ey2u 7 месяцев назад +1

    Very intuitive explanation, espeically with your interpretation! Keep up the great work :)

  • @lfmtube
    @lfmtube 2 года назад +2

    High quality content and very well explained. I saw about 10 different videos of RNN and by far this is the best. thanks a lot!

    • @misraturp
      @misraturp  2 года назад

      That's great to hear, thank you!

  • @farzinjafari5224
    @farzinjafari5224 Месяц назад

    Very clear description, thank you!

  • @OmkarPawale-ok4xt
    @OmkarPawale-ok4xt Год назад +1

    crystal clear explaination of RNN !!! Thank You so much ❣

  • @siddharthkumar5206
    @siddharthkumar5206 Год назад +1

    Thank you. This was precisely the explanation I was looking for: especially how the input is handled in terms of time-steps..

  • @shekharn2602
    @shekharn2602 9 месяцев назад +1

    Amazing Explanation!! 👏

  • @patloeber
    @patloeber 2 года назад

    Awesome video!!! Eagerly waiting for the next one on this channel :)

    • @misraturp
      @misraturp  2 года назад

      Thank you Python Engineer!

  • @python2448
    @python2448 2 года назад +1

    That's a very important topic. This video inspires me to add RNN to my code demonstration library. Thanks.

  • @aakashdusane
    @aakashdusane 8 месяцев назад

    Wow! You explained this so much better than Lex Fridman :D
    So easy to understand

  • @sachinprabhusachinprabhu007
    @sachinprabhusachinprabhu007 2 года назад

    Hello Misra 🙂🌻 Thank you so much for concise summary on RNN and variants 🎉

    • @misraturp
      @misraturp  2 года назад +1

      You are very welcome. :)

  • @BlitzHitz
    @BlitzHitz Месяц назад

    Thank you for sharing this.

  • @jerem1208
    @jerem1208 2 года назад

    Thank you for your amazing explanations ! I have now a better understanding of LSTM thanks to you clarity.

    • @misraturp
      @misraturp  2 года назад

      That's great to hear Jérémy!

  • @user-gq8sh1tc4q
    @user-gq8sh1tc4q 5 месяцев назад

    thats so clear explanation! It would be awesome to give a real example with sequential data where you have vectors with the weights.

  • @guru_bro
    @guru_bro 9 месяцев назад

    Good explanation.

  • @techelefant9868
    @techelefant9868 2 года назад +1

    you are doing awesome job, thank you !

    • @misraturp
      @misraturp  2 года назад

      Thanks Tech Elefant!

  • @nebojsabacanin8920
    @nebojsabacanin8920 Год назад

    Very well and clearly explained. Thanks

  • @akillarazarar
    @akillarazarar 2 года назад

    This is awesome! Thank you!!

    • @misraturp
      @misraturp  2 года назад

      Thanks! and you are very welcome :)

  • @rishidixit7939
    @rishidixit7939 8 месяцев назад

    Highly Underrated Channel. Just one thing to ask how many layers are there in each RNN as you wrote weight matrices are all same since its actually only one cell. Also when then input from last timestamp comes how is it simultaneously passed along with other input. Are both vectors added ?

  • @frommarkham424
    @frommarkham424 Месяц назад

    this tutorial is fire

  • @VadimChes
    @VadimChes 4 месяца назад

    Explanation is fine. Only one wish is to make some insulation in the studio to avoid big echo

  • @danielcanedo5240
    @danielcanedo5240 Год назад

    Very Good explained

  • @JessWLStuart
    @JessWLStuart 7 месяцев назад

    I read the title and thought: "Fool-proof? Well, I'm a fool! I better watch this!"

  • @frommarkham424
    @frommarkham424 Месяц назад

    WE MAKING IT OUTTA THE AGI WITH THIS ONE🗣🗣🗣🗣💯💯💯💯🔥🔥🔥🔥

  • @miras3780
    @miras3780 4 месяца назад

    hi there, may I ask if RNN (particularly LSTM) can be trained as any NN for both classification and detection? like can I classify action and detect say face ?

  • @seattledude2022
    @seattledude2022 7 месяцев назад

    Your video just proved me a fool. I now understand it

  • @etain8605
    @etain8605 2 года назад

    thanks

    • @misraturp
      @misraturp  2 года назад

      You're very welcome!

  • @mehdismaeili3743
    @mehdismaeili3743 2 года назад

    Hi, thanks for your helpful videos, you are very smart and beautiful.

    • @misraturp
      @misraturp  2 года назад

      Great to hear you like the videos!

  • @Mike-rw8if
    @Mike-rw8if 2 года назад

    I am from india i am in 10th grade i know little python i wanna become a data scientist can i take this course? On your website in this your official website i hope?? Please give me a reply?

    • @misraturp
      @misraturp  2 года назад

      Hey Mike, yes the link in the description is my official website. :)

  • @ericbroun4657
    @ericbroun4657 2 года назад

    💯💯💯💯💯💯