Backpropagation in CNN | Part 1 | Deep Learning

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  • Опубликовано: 8 сен 2024

Комментарии • 85

  • @srinivaspadhy9821
    @srinivaspadhy9821 5 месяцев назад +22

    God gifted teacher for us AI students. One in a million. Krish Naik sir also teaches, but nitish sir's explanation to the minutest detail so easily that it gets imprinted in the brain forever, no requirement of revising again. The topics are covered and explained so good that even a 12th pass student can also understand. May you live longer and keep teaching us this way.

  • @utkarshsingh2675
    @utkarshsingh2675 Год назад +15

    my god...why isn't this channel's subscribers beyond million...u are exceptional sir...sajda karta hun aapko sir jhukake!

  • @rehankhan456
    @rehankhan456 Год назад +23

    One of the best explained playlists I've experienced so far. Hats off to teachers like you sir.

  • @siddharthkarale3100
    @siddharthkarale3100 7 месяцев назад +10

    The way of explaining the topics is phenomenal.

  • @praveenkumarkazipeta
    @praveenkumarkazipeta Год назад +10

    Thanks

  • @niharranjanswain1257
    @niharranjanswain1257 Год назад +6

    Thanks for your dedication to Indian AI society

  • @MonikaSingh-nu5sg
    @MonikaSingh-nu5sg 2 года назад +5

    finally i came to know how does backpropagation in CNN, Thanks a lot ..

  • @aj_ai
    @aj_ai Год назад +4

    Enjoy your teaching style, all things to the point.

  • @ankitgaidhar3324
    @ankitgaidhar3324 5 месяцев назад +1

    Thank you so much for beautifullly explaining such a hectic topic .

  • @titaniumgopal
    @titaniumgopal 3 месяца назад

    waah! sir kya samjaya hain! Data Science apse hi compele karege hum!
    Thank you!

  • @VarunMalik-mo6mr
    @VarunMalik-mo6mr 5 месяцев назад +1

    You’re best Nitish sir❤️

  • @mritunjayraj8505
    @mritunjayraj8505 Год назад +1

    best explanation on internet

  • @satyamgupta4808
    @satyamgupta4808 Год назад +2

    thank you so much sir from bottom of heart

  • @rahulbhole1575
    @rahulbhole1575 7 месяцев назад +1

    you are god for me. like to banta h sir

  • @user-hh3pq6kb6p
    @user-hh3pq6kb6p Год назад +1

    Excellent. So simple and easy to understand. Keep it up Dear.

  • @asadmehmmod
    @asadmehmmod Год назад +2

    Amazing Explanation

  • @aiwithmanoj
    @aiwithmanoj 2 года назад +2

    Please make some videos on onnx conversion as well as you have good knowledge and also explaining in detail which helps easy to understand. Thanks

  • @Game-nr3sr
    @Game-nr3sr Год назад +1

    hats off to your efforts. :) iam watching daily

  • @rohankadoo8518
    @rohankadoo8518 Год назад +1

    what a beautiful Explained sir

  • @kanhabansal524
    @kanhabansal524 Год назад +1

    best playlist

  • @arush6070
    @arush6070 2 года назад +3

    Thanks a lot sir , Wanted a video on this topic 👍

  • @zoop1921
    @zoop1921 24 дня назад

    great explanation!

  • @rafibasha4145
    @rafibasha4145 2 года назад +2

    Hi Nitish,pls cover learning rate scheduler,call backs,tensorboard operations

  • @mr.deep.
    @mr.deep. 2 года назад +2

    Best video sir

  • @sandipansarkar9211
    @sandipansarkar9211 2 года назад +2

    finished watching

  • @ramsu8220
    @ramsu8220 Год назад +1

    Thank you sir🤩...for the amount of effort you put to make the complex topic very simpler

  • @princekhunt1
    @princekhunt1 2 месяца назад

    Killer explanation👌

  • @narendraparmar1631
    @narendraparmar1631 10 месяцев назад +1

    Help a lot.
    Thanks

  • @rb4754
    @rb4754 3 месяца назад +1

    Like and comment everyone to make this channel's reach wider and broader.

  • @thedataholics
    @thedataholics Год назад +1

    super clear - thank u so much for such great content sir..

  • @THEDATAVED
    @THEDATAVED Год назад +1

    crisp
    but had to watch 3 times to grasp such a heavy load of info😅
    kudos to u sir

  • @core4032
    @core4032 Год назад +1

    Helps us a lot

  • @abhinavmehra7434
    @abhinavmehra7434 Год назад +1

    Big help❤❤❤

  • @tarun94060sharma
    @tarun94060sharma Год назад +1

    Best Explained.

  • @vaibhavchaudhary5571
    @vaibhavchaudhary5571 Год назад +2

    Sir , please complete this series .

  • @user-ki2ob5pt4g
    @user-ki2ob5pt4g Месяц назад

    Sir !! Make 2-3 videos in a week 🙏

  • @mayureshkamble9946
    @mayureshkamble9946 2 года назад +2

    sir companies me humko khudse python codding karke karna hota machine learning stuff ya phir sklearn se kar sakte hai??

  • @shivamchaudhary4374
    @shivamchaudhary4374 2 года назад +1

    Hello sir please complete/upload more videos in the PYTHON series. Thankyou.

  • @naveenpoliasetty954
    @naveenpoliasetty954 11 месяцев назад +1

    Why do we multiply the formula by 1/m

    • @JourneytoWINover_PORN
      @JourneytoWINover_PORN 3 месяца назад

      ig,the derivative(lhs) is for 1 image but the rhs is for m images so for lhs to be equal to rhs we multiply rhs by 1/m

  • @ashishmalhotra2230
    @ashishmalhotra2230 8 месяцев назад +1

    35:17 - size of F you mentioned (m,4). Since F is a flattened array, shouldn't the size of F be (4m,1)

    • @abhijitrai1349
      @abhijitrai1349 7 месяцев назад

      yes it is 4, 1 but he transposed the matrix. The matrix is transposed so that you can take out the jacobian gradient. Which later will be used by gradient descent to get the answer.

  • @chetanchavan647
    @chetanchavan647 6 месяцев назад

    Great Video

  • @anuragdokrimare596
    @anuragdokrimare596 4 месяца назад

    Sir , one doubt
    in W1 when we are saying we have W1 metrics of 3 BY 3 and these are the weights ,
    so when we are updating the W1 values using gardient descent , so are we modifieg those fillter values only . or that fillter values also have some diffrent W1 metrc which is actually modified .
    bvz if i am doing convolution with some fillter , say an edge detectoer fillter , then it is obvious that the value in that fillter should not chnge as by tht fillter i am trying to detect the edges .

  • @rahuljha3686
    @rahuljha3686 9 месяцев назад

    Done!

  • @kindaeasy9797
    @kindaeasy9797 2 месяца назад

    how are we going to justify (1,m) shape of delL/delb2 in case of batch_size=m, shouldnt it be (1,1)

  • @user-dr1ur1qb8r
    @user-dr1ur1qb8r Год назад +3

    @CampusX, should NOT the size of F remain (4, 1) even if we send in as mini-batch, as only 1 image will be passed in loop over the batch? Have you written son, as you combined them to avoid loops?

  • @ravitejats5577
    @ravitejats5577 Год назад +1

    Is cnn model trained for every pridiction of image classification? Like for every prdiction model needs to trained

    • @JourneytoWINover_PORN
      @JourneytoWINover_PORN 3 месяца назад

      for different test data model needs to be trained
      only then we can get different outputs

  • @priyanshugupta2104
    @priyanshugupta2104 Год назад

    Sir pls make a video on k fold cross validation
    Sir maine abhut saara video dekha par usme acche se explain nahi Kiya gaya hai
    Aap ek video banao aur statistics par bhi video banao
    Apne playlist me dusre ka video daala hai
    Sir it's very important for me I am watching only your video , getting understand with your video only
    Humble request from honest student to best teacher

  • @waqarjoiya2540
    @waqarjoiya2540 Месяц назад

    ❤❤❤

  • @abdulhai2722
    @abdulhai2722 2 года назад +1

    Sir, Please start object detecion

  • @messi0510
    @messi0510 Год назад

    11:35-->19:55Logical flow of our CNN architecture.

  • @elonmusk4267
    @elonmusk4267 2 месяца назад +1

    goat

  • @govinda2741
    @govinda2741 Месяц назад

    sir one thing i didn't get how A2 in an matrix, as i know we did calculation of A2= [W2dotF + B2] and this is only single element
    time=26:00?

  • @yashjain6372
    @yashjain6372 Год назад

    respect

  • @magnets8264
    @magnets8264 Год назад

    too good

  • @aniket4627
    @aniket4627 6 месяцев назад

    why is his videos r so addicting ?

  • @algocoholic2494
    @algocoholic2494 2 года назад

    Chalo Aaj 2nd hi sahi😄

  • @alastormoody1282
    @alastormoody1282 5 месяцев назад

    Gem

  • @gateshala1358
    @gateshala1358 3 месяца назад

    1/m se multiply kyon karna padega sir, agar 1,m ki image hai to?

  • @YadavSachin01
    @YadavSachin01 Год назад

    💛

  • @umarkhan-hu7yt
    @umarkhan-hu7yt 4 месяца назад

    caa anyone please confirm me that after applying pooling of order 2 by 2 the obtained matrix is of order 3 by 3?

  • @raghavgupta6032
    @raghavgupta6032 2 года назад

    Hello sir, would request you if you can make a video specific to 'Dython' library
    Thanks

  • @dhruvkaran9724
    @dhruvkaran9724 Год назад

    so if cost function is quadratic loss, all of the equation will change na ?

  • @core4032
    @core4032 Год назад

    🤟

  • @examtips-iitian1733
    @examtips-iitian1733 2 года назад +1

    Just open RUclips 😀 ki kahi sir ka video to nhi aa Gaya

  • @vivekacharya3652
    @vivekacharya3652 2 года назад

    Main first

  • @Game-nr3sr
    @Game-nr3sr Год назад

    i hope our comments/likes gives u motivation :)

  • @datascience9020
    @datascience9020 2 года назад

    sir part 2

  • @sktalkiessj
    @sktalkiessj 2 года назад

    Sir how to create rest API in python and java pr videos btaiye pllz

    • @datascience9020
      @datascience9020 2 года назад +1

      are bha pehle deep learning plalylist to complete ho jane de

  • @princekhunt1
    @princekhunt1 3 месяца назад

    Crack it 🎇

  • @resurrection355
    @resurrection355 8 месяцев назад

    if ur videos are not in english, please put the language in the title

  • @arijitsen1947
    @arijitsen1947 2 года назад

    Bhai comments bhi ek baar dekh lo 😊

  • @durga641
    @durga641 Год назад

    bro,try english,it helps many more people

  • @DR-gu1lg
    @DR-gu1lg Год назад +1

    Sir, please complete the series!!!