Alexnet Architecture In-depth-Discussion Along With Code-Deep Learning Advanced CNN

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  • Опубликовано: 27 ноя 2024

Комментарии • 51

  • @kushmaniar698
    @kushmaniar698 3 года назад +9

    Sir we loved your videos, in our college , we are getting taught Deep Learning through Amay Gawd, he send us your videos as reference material. you are a blessing to this world.

  • @anubhavgupta8146
    @anubhavgupta8146 4 года назад +6

    Yeah So here it is coming🤩🤩, please cover all the architectures and thankyou.

  • @prashantgupta8804
    @prashantgupta8804 3 года назад +1

    @Krish sir, you're a big help in examinations... thanks for all your efforts..

  • @shaileshtripathi7773
    @shaileshtripathi7773 3 года назад

    True Rockstar of Data Science, this was brilliant

  • @shivaragiman
    @shivaragiman 4 года назад +1

    Please tell us pros and cons architecture to architecture. It will help us too. Thank you 😊 great explanation with presentation

  • @NavneetKumar-fr9wj
    @NavneetKumar-fr9wj 3 года назад

    Bhaiya you are a gem !

  • @sumbalmubeen91
    @sumbalmubeen91 Год назад

    Hello Krish
    you did great job...Really really appreciated. I regret why i didnt find it before.
    You make many important videos/ content/ topics. Ok
    But could you plz upload videos of CNN ( Inception, Resnet, 1×1Network)..

  • @mohammadhaji2191
    @mohammadhaji2191 2 года назад +2

    In the second convolution layer, why were 256 images created in the output? Shouldn't 96x256 images have been created?

  • @zahoorganie7823
    @zahoorganie7823 2 года назад

    Thanku sir ur videos amazing

  • @NourHmuser
    @NourHmuser 4 года назад

    Thank you sir... Explain about resnet and google net sir

  • @musiclover9631
    @musiclover9631 3 года назад +1

    Sir thank you so much, really amazing video with such amazing explaination. Just one thing
    at 13:30 , after erasing the formula, we you recalled it, you just missplaced the position of signs.
    the overall complete video is so much informative.
    Thank you so much

  • @adiai6083
    @adiai6083 2 года назад

    Nice .sir make videos on image classification using mobilenNet architecture in python

  • @louerleseigneur4532
    @louerleseigneur4532 3 года назад

    Thanks buddy

  • @monasaz4337
    @monasaz4337 4 года назад

    thank you sir

  • @rizwansuper009
    @rizwansuper009 4 года назад

    Good explanation. Sir, Can you please teach how to change SoftMax to Euclidean loss function for prediction. Thank You

  • @sonalkajiji6468
    @sonalkajiji6468 2 года назад

    Sir in your GitHub code you have taken valid padding in every layer but in some layer there is same padding 🤔

  • @muzzammilkhan94
    @muzzammilkhan94 Год назад

    Is this a transfer learning Alextnet model or From scratch ??

  • @mohaktrivedi9591
    @mohaktrivedi9591 4 года назад

    Please explain Inception v3 in upcoming videos.

  • @sirishachowdary660
    @sirishachowdary660 10 месяцев назад

    sir I want explanation about faster R-CNN architecture along with code sir

  • @darshit8708
    @darshit8708 3 года назад

    thank yoou

  • @rushirajparmar9602
    @rushirajparmar9602 4 года назад +2

    Will this be implemented using PyTorch or Keras/TF ??

  • @sachinborgave8094
    @sachinborgave8094 4 года назад +3

    When is BERT session?

  • @jay-yq2xn
    @jay-yq2xn 4 дня назад

    Kernel means filter na .?

  • @aidataverse
    @aidataverse Год назад

    U-net Architecture also Please

  • @suryamadduri1353
    @suryamadduri1353 4 года назад +1

    Hi Thanks for your video. How we get 4096 ? (Fully Connected Dense is 6*6*256 = 9216)

    • @deepknowledge2505
      @deepknowledge2505 4 года назад +1

      He made a mistake,
      it is not a multiplication,
      so, The result of 6*6*256 is connected to a dense layer of 4096.
      So, each neuron of 9216 is connected to each neuron of 4096
      hope it will help

    • @krnl1304
      @krnl1304 2 года назад +1

      @@deepknowledge2505 thank you

  • @rishavsharma7466
    @rishavsharma7466 4 года назад +2

    can two classes have same name while training deep learning model(i deliberatly need it)?If yes, what are its effects?

    • @surajpatel2717
      @surajpatel2717 3 года назад

      It's better to create a single class containing data-points from both classes.

  • @rikitanagar2728
    @rikitanagar2728 4 года назад

    hello sir, please make video on VQA

  • @mahithatalasu
    @mahithatalasu Год назад

    Sir! Can I know how we consider no. Of Kernels as 96 ??

  • @Swarnim9901
    @Swarnim9901 4 года назад

    Bro you are cheetah 🔥🔥

  • @urvashinegi1832
    @urvashinegi1832 2 года назад

    Isn't the initial size 224x224x 3 instead of 227x227x3?

  • @vijueligar
    @vijueligar 4 года назад

    how do ypu calculate kernal size as 96

  • @tathagatachattopadhyay399
    @tathagatachattopadhyay399 10 месяцев назад

    You say "now I'll explain normalization" and then say "so normalization is applied to this particular thing pixel by pixel". Whaaaat???? What is Standardization?

  • @muhammadtanveer3194
    @muhammadtanveer3194 3 года назад

    Anyone knows how can we design the architecture of network in details like in the video?

  • @vijueligar
    @vijueligar 4 года назад +1

    sir how you got the value of kernal as 96

    • @deepknowledge2505
      @deepknowledge2505 4 года назад +1

      this is the number of filters that are used,
      the image size is 227x227x3,
      the the filter size is 11x11x3, the last nuber , here is 3, has to be the same with the depth of the input 227x227x3 , here it is 3 (RGB),
      Now, the 96 came from , 11x11x3x96
      hope it will help

    • @nastaranmarzban1419
      @nastaranmarzban1419 3 года назад

      @@deepknowledge2505 hi, i have the same problem as Vijueligar, but i can't understand your explanation, would u please explain a bit more? Thank u

  • @shivamrana2796
    @shivamrana2796 3 года назад

    Sir, RCNNs plssssss🙏🙏🙏

  • @WAHIDz999
    @WAHIDz999 10 месяцев назад

    6:31 227-11 not + sir

  • @ShobhanaLakhera
    @ShobhanaLakhera Год назад

    sir please provide code MATLAB software

  • @madhavank3004
    @madhavank3004 4 года назад

    Hi bro How to use deep learning..training..
    Models??

  • @tarekshaalan3257
    @tarekshaalan3257 4 года назад +1

    (227-11)/4=54+1=55 🤔

  • @nikita7813
    @nikita7813 2 месяца назад

    do we need to remember the filter size, stride rtate and no. of kernels being applied at each layer