You always hit the nail brother! I like your way of explanation.
@CodingLane
2 жыл бұрын
Thank you! Glad to help!
@DeepakPanwar-gv7rk
6 ай бұрын
This series is quite good for understanding how CNN works thanks a lot man
@-FitriNailahAnwar
2 жыл бұрын
Please turn on the subtitle, so far thats clear vid, goood job sirrr 🙏🏻
@CodingLane
Жыл бұрын
Sorry for the inconvenience. KZitem is facing error to add subtitles for this video. Glad you found it helpful.
@venompubgmobile7218
2 жыл бұрын
thank you sir for making this all for free
@CodingLane
2 жыл бұрын
Your most welcome!
@DRTERRORGAMING
10 ай бұрын
Can you please make a video series of Audio Classification using CNN. 🙏
@myquestforknowledge
3 ай бұрын
nice explanation. CNN layers do complex jobs of finding edges through filters. So CNN + flatten layer + ANN gives output.
@waleedaiad3411
2 жыл бұрын
How can i khow how many hidden layer used in facenet?
@warriorspartan1697
2 жыл бұрын
Very simple and beautiful explanation. Thank you very much Sir.
@CodingLane
2 жыл бұрын
Welcome!
@rasyidabdillah881
9 ай бұрын
Your video is so so helpful for me to understand about CNN. Kidos for you 🎉🎊
@adarshvadapalli
Ай бұрын
@coding lane - Can u pls share the PDFs for all the videos in this playlist. Even you u charge fee it is fine. Please share it.
@biswajit-k
9 ай бұрын
Nice and easy to understand explanation. Thanks!
@hamedhasani5774
Ай бұрын
great !!
@blackyogurt
2 жыл бұрын
simple and great ! thnaks
@CodingLane
2 жыл бұрын
Welcome 🤗
@dikshasancheti6845
Жыл бұрын
Great explanation in a very simple way
@sarthakjoshi21
Жыл бұрын
bro is there any major difference between CNN model vs full connected Cnn model if yes then what ? pls tell
@DevaPriyaW
9 ай бұрын
On what basis the Fully connected neurons reduce in each stage
@ramyajayaram4140
6 ай бұрын
Kindly clear my doubt.......Fully connected layer and fully conventional network are same
@jtkklb
4 ай бұрын
Explained very well
@bhushanambhore8378
Жыл бұрын
Crystal clear explaination
@manimeghana1612
6 ай бұрын
In binary classification we will be having 2 categories know..then why does the number of neurons in output layer will be 1
@amazingsoyuz873
5 ай бұрын
Sigmoid activation on 1 neuron. It converts the value to a value between 0 and 1. If value < 0.5 then it's category 1, if greater then it's category 2
@srinidhic4735
2 жыл бұрын
This is so helpful
@CodingLane
2 жыл бұрын
Glad to help
@chaimaef395
2 жыл бұрын
very useful thanks
@CodingLane
2 жыл бұрын
Welcome!
@kirolloseisa
10 ай бұрын
Please add the other subtitles
@yeeter269
Жыл бұрын
yo, don't disable subtitles or transcription
@CodingLane
Жыл бұрын
Hi, thanks for the suggestion… KZitem is facing issues adding subtitles on this video… I will try to resolve.
@malikhamza9286
2 жыл бұрын
Amazing Video
@CodingLane
2 жыл бұрын
Thank You!
@khaleddawoud363
2 жыл бұрын
thank you
@CodingLane
2 жыл бұрын
Your welcome!
@sam-mv6vj
2 жыл бұрын
Bro you said you will do detailed EDA and preprocessing in multiple linear regression but you didn't ,can you please make video on that ,and when you explain new topic do from basic like theory and in implementation preprocessing and all that will be really helpful Thanks
@CodingLane
2 жыл бұрын
Hello Sam! I will be uploading that video, but it will take some time. I have already created a written tutorial article on the topic you desire. Here is the link for that: www.kaggle.com/jaimin09/simplest-way-to-reach-top-25-from-bottom-25 In this tutorial, I have explained the basics of data preprocessing and how to preprocess data for house price prediction. Please do check it out. It's an article, but I have tried to explain everything properly. I will create a video of the same in the future. But until then, I hope this article can help you. Let me know for anything else!
@sam-mv6vj
2 жыл бұрын
@@CodingLane thanks
@srx2106
2 жыл бұрын
can you make a k mean from scratch video?
@CodingLane
2 жыл бұрын
Yes... I will make it... but it will take some time
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