Комментарии:
So you're telling me CNN is just minesweeper?
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ОтветитьThis is so amazing, simple and easy to understand.
Thank you @codebasics
Going to watch all videos
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ОтветитьThanks a lot. Many online teachers considers as natural the conceptual operations that convolution does (edges, colors, etc) and just show a diagram with balls connected as if it explains everything 😜 You go deep enough by explaining clearly, and for that, thanks!
ОтветитьI have taken LinkedIn courses and few others and I must say, this is the best explanation I have found so far. Thank you Dhaval Sir 🙏
ОтветитьThank you for this incredible work
Ответитьyou're so good. my fav
ОтветитьGreat work on the content... gotta work on your humour though 😅... it's kinda awkward
ОтветитьSir you are great what a great explanation of CNN
ОтветитьYou are a legend..you make learning much easier sir..thank you so much 👏
ОтветитьThis video os fantastic.
ОтветитьWhy you are doing overacting, teach like a professional. Look very cringe
ОтветитьSuper explanation... Still only 800k subscribers. This channel deserve to be millions. You are the best tutor of ML and Data science without doubt. I wish I had come across your videos earlier.
ОтветитьYou are so good man
ОтветитьThis is the best neural network video I have seen. You are the best
ОтветитьEasy to understand that lesson. Thank you so much, have a big respect for me
ОтветитьWonderful. As always!
ОтветитьSir you are amazing.
ОтветитьGreat
Ответитьthank you Sir
ОтветитьThanks
ОтветитьI have come so far in your playlist, but now I am losing dedication, please guide me if you see this comment .
ОтветитьSir I am trying to work on skin disease classification , and the codings give me a lot of error , please guide me a video on that.
ОтветитьExplicitly explained! The best expalanation thus far. Kudos to you sir :)
ОтветитьAmazing
Ответитьcan we get the presentation slides?
ОтветитьYou are a genius. love your tutorial. 🌹
Ответитьamazing wow thank you very much sensei 🙏🙏🙏 I hope all your family have happy life 🙏
Ответитьi want to make the fake logo detection project can you guide me
ОтветитьHello sir ,
We are currently given on a project topic " tomato leaf disease classification" sir can you suggest me how to proceed and the best architecture
Amazing Content 👏👏
ОтветитьMay we have the presentation file !?!
ОтветитьGreat Explaination, I had ever.
ОтветитьI am actually a high school student(i am in 10th standard) and managed to understand it without any doubts, thank you so much sir!
ОтветитьAre you kidding me,,, you are an amazing lecturer. first time I have understood the layers I say !!
ОтветитьThis gentleman's sense of humor is so pure. That even the most cringe jokes made me laugh. Good job Sir!
ОтветитьVery very helpful sir...
ОтветитьTHIS IS SOOOO GOOOODDD. SUCH A NICE EXPLANATION
ОтветитьAmazing explanation, thank you so much
ОтветитьI used to hate Machine Learning but you made me love it ...that is the power of a brilliant tutor!!
ОтветитьBest explanation!
ОтветитьExcellent explanation of CNN!
Ответитьcute looking koaallllaa 😂
ОтветитьI love you're explanation, very intuitive in how you go about things. as a testament to that fact, when you consider classifying an image of a monkey let's say - a monkey has an eye, ear, nose, mouth, hands, legs, and tail - you take the original image of your monkey and apply convolutional operation (filter operation) to create your convolutional map for these small parts that make up a monkey. the filter map is not restricted to just a 3 x 3 filter, you could have a 4 x 4 or a 5 x 5, etc. then from these individual filter maps you aggregate the maps to form a larger generalization for the monkey (does the part correspond to a body or a head perhaps?) to which you can infer the class of the animal to be a monkey or not. a very interesting video, and I'm sorry if my explanation doesn't do the concept justice but I'm pretty sure it's somewhere along those lines 🙂.
ОтветитьVery nice and understand clearly thank you
ОтветитьYou are an awesome teacher !!!
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