Пікірлер

• 
  @mukeshgupta98063 күн бұрын

  By implementing the same code it is showing an error: weight is not defined what should I do

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  @omoniyitope78263 күн бұрын

  This is really interesting and simplified. Thank you so much for the handwork you put in

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  @DilpreetKaur-zq8je4 күн бұрын

  Thnk you very much sir ❤.You helped me a lot.

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  @tarunicab73765 күн бұрын

  It is showing can't import sequential from tensorflow. model how to fix this error

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  @user-ry3tu1hx7h6 күн бұрын

  while loading the dataset i get an error msg

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  @reenus1347 күн бұрын

  Love your explanation

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  @lazyraconteur82797 күн бұрын

  At 14:40 why are we multiplying with (1/m), even though it is not mentioned in the formula?

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  @vijayadurgakavya917810 күн бұрын

  Thank you man please keep doing these kind of videos

• 
  @CodingLane8 күн бұрын

  Thank you. Will do!

• 
  @user-gf2hp2ij4x10 күн бұрын

  Underrated channel fr

• 
  @CodingLane8 күн бұрын

  Thanks a lot

• 
  @ks335610 күн бұрын

  Wonderfully explained. Just finished watching all the 12 videos from your playlist.....

• 
  @ernestmodise495312 күн бұрын

  Hi Jay "Don't laugh at me, I have always been programing of a external compiler (Java / Matlab) - After launching your github template, the jupyter blank code is not in edit mode, what must I do

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  @unnimk7514 күн бұрын

  Wonderful explanation.

• 
  @PunnanaVinayAnjanch21b07615 күн бұрын

  for simplicity how can partial differentiation of L/Z3 be equal to the difference of Z3 , please kindly explain this🙏 @coding lane ??

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  @abcdedcba56116 күн бұрын

  When creating the bigrams (for each of two adjacent words), the order should matter. But why you insert all the possible combinations in the bigrams list? I think the order of the words as it appear in the corpus is important to capture the relationship between adjacent words.

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  @amlanbdey16 күн бұрын

  How the sum over m (number of onsevation) gets included by the matrix multiplication of the matrices that are made of one state's variable. A2,A3, Y etc all are matrices of just one snapshot or just one state of the neural network.

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  @franzkingstein268617 күн бұрын

  Bro you are great. Respect ++

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  @CodingLane8 күн бұрын

  Thank you so much!

• 
  @myquestforknowledge17 күн бұрын

  nice explanation. CNN layers do complex jobs of finding edges through filters. So CNN + flatten layer + ANN gives output.

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  @ashutoshpatidar328817 күн бұрын

  bro can you plese tell, what resources do you follow for learning and such indepth understanding of this concepts?

• 
  @vg567517 күн бұрын

  how to select best features to get the highest possible f1 score

• 
  @cihadozdemir912418 күн бұрын

  thank you very much

• 
  @garimakaushik474418 күн бұрын

  great help. Thanks for all the videos. too good

• 
  @creepsow123621 күн бұрын

  very nice aaa frr

• 
  @anilsaroj339023 күн бұрын

  @codeboosterjp Could you please share your ppt?

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  @areenanshumanprusty780923 күн бұрын

  Isn't axis=1 row wise summation ?

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  @SafetyLaunda23 күн бұрын

  When finding del(Cost)/del(Bias), is it really column wise summation instead of row wise summation because we are reducing rectangular matrix of n3*m to n3*1 vector? I might be wrong, but I think there is a mistake

• 
  @CrashBandicoot-qp8vq26 күн бұрын

  can you please reference the values of beta1 and beta2 and epsilon ?

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  @Sansaar_Ek_Vistaar26 күн бұрын

  The best ever explanation with detailed mathematical explanation

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  @drelijahmikail391627 күн бұрын

  why 2m specifically? There are differences of 2m points, but there are only m values.

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  @algorithmo13428 күн бұрын

  Hi @Coding Lane, I dont get the part at 7:05 dL/df. Can you explain where did f2'(Z2) go?

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  @algorithmo13429 күн бұрын

  You made a small mistake while typing the code for derivative_tanh(x) function. ✔ The correct code will be : def derivative_tanh(x): return 1 - np.power(np.tanh(x), 2)

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  @NkembehBenjaminSCC29 күн бұрын

  thanks i really enjoy the playlist

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  @algorithmo13429 күн бұрын

  At 8:00, Is there a mistake? You should take partial derivative with respect to a?

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  @algorithmo13429 күн бұрын

  how does relu solve the vanishing gradient problem since some part of the gradient is zero for x < 0?

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  @djordjetosic4553Ай бұрын

  Maybe best explanation on YT on this topic, i am looking at hours of content and this 18 min video helped me a ton, Thank you!

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  @manikantaperumalla2197Ай бұрын

  cost function for binary classification that you mentioned is also called as entropy. am I right?

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  @rohithdasari4888Ай бұрын

  i still dont understand one thing what does B mean here is it the direction or bias

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  @manikantaperumalla2197Ай бұрын

  well explanation brother. keep it up

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  @user-eu4sn5jg8pАй бұрын

  i had a doubt you mentioned gray scale goes from 0 to 255 so the filter you say has negative values too how is that possible

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  @aspiringarchitectsАй бұрын

  Thanks

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  @Ivaan_reminiscenceАй бұрын

  Does relu makes the f(x)=0 even if the x is very small but >0? because tanh/sigmoid the rate of change of gradient becomes very small but still >0, whereas in the relu the f(x) seems to be 0 only when x<=0

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  @Ivaan_reminiscenceАй бұрын

  when you summarized the formula @9:00 min, wont there be an 1/m upfront? as that's what you explained at the top handwritten

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  @H2xPRINCEАй бұрын

  i am only getting 50% accuracy

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  @MKSB-bv1ejАй бұрын

  Really informative. Thankyou

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  @bincybincy1Ай бұрын

  This is so well explained.. thankyou

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  @cleisonarmandomanriqueagui9176Ай бұрын

  cost function can be any function for those who are asking why dividing by 2 . of course the ones that makes sense and we can minimize is a function power of 2 so that's why

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  @nguyenano402Ай бұрын

  Thank you for your dedication and about the quizzes, I can't find it.

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  @freebeast3790Ай бұрын

  nice bro . i couldn't understand what prof andrew was tryna say but you did a great job , thnks man

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  @vikalpluthra5404Ай бұрын

  explanation of the concept was so good! the concept became easy to understand! Thanks for this video!

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  @rimeblb573Ай бұрын

  thank you

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  @S.aliakbar.h7Ай бұрын

  You are a good teacher. Congratulations ❤