the Best Lessons are not Learned from a book but from the hearts of truly great teachers like you . I am so grateful for the importent channel and life lessons you taught me . thank you so much sir ji😊
Thank you very much sir aapke wonderful explanation ke liye ye ches mai apne collage ke 14 din ke training class me nahi pauch paya tha jo aap ne kuch Minto me samjha diya jo ki mai kabhi nahi bulu ga Again thank you.
Thanks for continued effort on Deep Learning Playlist. Request you to be consistent in uploading videos for this Playlist, eagerly waiting the RNN section.
Thank you Nitish. Your videos are amazing. I like the fact that you show things practically and explain the code line by line which really helps in understanding the concepts. I learned Keras by seeing your videos. Thank you so much. Keep doing the great work ❤
what are the topics that you said are left 00:28 please tell me sir .... or anyone else that is reading this please tell me i want to study them if fesiable and possible .... thankyou for the good content sir i learned a lot ❤❤❤❤❤❤❤❤
I have query can anyone help me out Let's say we converted all categorical features using any method and train our model. But when we get real data the categorical features will be same i.e. how they were before apply any encoding method at that time our model not going to understand about those features. Can someone help me out with this?
Thanks. One comment. You should add one back-and-forth video link in the comment section. OR add lecture numbers on CNN, ANN, etc., to make small playlists if easy.
I am late here, but i need to ask one question and that is , we cant apply ANN in this grid-like structure problem or if we apply so how or its give us based result ?
Hello, Sir. Your videos are extremely knowledgeable. I watch your videos on a regular basis. Could you kindly create a CNN video using CSV files (tabular datasets)? I looked at a few different codes on Kaggle, but I'm not sure how they're transforming CSV files into image format.
How much time do I need to understand CNN, DNN, ANN, CRAN, GAN if I know python programming & very much basics of ML like supervised & unsupervised learning & some applications.
Audio Bohat disturbing hai , bahar ke aavaje , Birds , Horn , Barthan , Etc. Hearphone pahanke baitu to kuch der ke liye dar lagne lagta hai , jaise ki mere aaju baju me kuch chal rha ho... Teaching to outstanding ..!
Best Teacher in the World ❤️❤️
You are write bro
Strongly agree
I love the way you explain complex problems in simplest way, this is goldmine of knowledge.
the Best Lessons are not Learned from a
book but from the hearts of truly great
teachers like you . I am so grateful for
the importent channel and life lessons you
taught me . thank you so much sir ji😊
You don't know how much i love you
Truly a great teacher
I hope I'll talk to you directly or atleast social media
Thank you guruji
One of the best educator on RUclips
I feel lucky to come across your channel ❤
I have go through different data science youtude channel but this is the best channel and teacher i have got.Thanks for your effort sir.
I am blessed to have a teacher like you❤️
you are really a gem on youtube to teach deep learning in simple way
Nitesh sir you are way better than other data science youtubers in your concept explanation. Please continue with your great work.
Wonderful and most precious content I found in RUclips 🔥🔥
Best CNN video.Must watch for all
Bhai bss yahi to video nahi hai internet pe! Thankyou for this!
Thank you very much sir aapke wonderful explanation ke liye ye ches mai apne collage ke 14 din ke training class me nahi pauch paya tha jo aap ne kuch Minto me samjha diya jo ki mai kabhi nahi bulu ga
Again thank you.
Masha Allah. It is good way of narration of complex matters. Very nice.
The way u explain things and clear concepts is outstanding. Im a big fan of yours. Good work. keep it up. God bless you!.
Thanks for continued effort on Deep Learning Playlist. Request you to be consistent in uploading videos for this Playlist, eagerly waiting the RNN section.
Thank you soo much sir, love from Mumbai
finally CNN Started, thanks sir
Love from Pakistan
Alot of thanks for this course
Salute for your efforts sir..... ❣️
Was waiting for the CNN videos to go up. Thanks bhai 💯💫
much awaited !!! please try covering 1d CNN also .. i am working on a project of spectral analysis..
Excellant, highly recommended for fresh learners which are cmfortable with Urdu.
waiting for the next level NLP complete series...thanks for Deep Learning Series
very well explained! such clear and crisp explainations about CNN and why not to use ANN for image recognition. 👏
Eagerly waiting for next video!!!
best teacher on deep learning
Sir thank you for this series ❤❤❤
Worth watching video
You are great teacher in the world love you🥰
This is way too good. Can you please cover this playlist as soon as possible?
Thank you Nitish. Your videos are amazing. I like the fact that you show things practically and explain the code line by line which really helps in understanding the concepts. I learned Keras by seeing your videos. Thank you so much. Keep doing the great work ❤
sir, kya aap CNN,RNN ke badh Self-Organizing Maps and Boltzmann Machines vi cover karo ge?
Thanks Sir, that's help a lot.
Amazing Amazing Amazing❤
...Thank u thanku thank u sir for such great explaination😊
He deserves recognition as the pioneer of Artificial Intelligence.💯
sir really helpful vedios please complete this playlist, eagerly waiting for lstm and object detection
Thank you for this video series sir
Thank you for the amazing video...
Awesome sir👌👌
what are the topics that you said are left 00:28 please tell me sir .... or anyone else that is reading this please tell me i want to study them if fesiable and possible .... thankyou for the good content sir i learned a lot ❤❤❤❤❤❤❤❤
really simple explanation! thank you!
Very nice sir kya playlist bna rkhi hai sir. Agr Deep learning mai kuch or advance ho ske too sir uski bhi videos bna doo
Hi NItish, Can you also cover RCNN, Fast-RCNN, Faster-RCNN & YOLO Algorithm in CNN.
It would be of great help. Thanks!!
Thanks Sirji for great explanation
I have query can anyone help me out
Let's say we converted all categorical features using any method and train our model.
But when we get real data the categorical features will be same i.e. how they were before apply any encoding method at that time our model not going to understand about those features.
Can someone help me out with this?
Sir plz feature selction and deployment ke videos upload karo plz it helps a lot
Thanks. One comment. You should add one back-and-forth video link in the comment section. OR add lecture numbers on CNN, ANN, etc., to make small playlists if easy.
Very nicely explained!
Thank you so much sir
very good explanation of cnn
Hi Nitish,Please finish topics like Tensorbaord call backs Exploding gradient ,Fearure selection from ML,Python 100 days and start MLOpS
thank you Sir
Sir plz make a video of backpropagation of cnn specially the filters how it behaves in backpropagation
Please upload videos on Gru
I am late here, but i need to ask one question and that is , we cant apply ANN in this grid-like structure problem or if we apply so how or its give us based result ?
happy teachers day sir
please complete the playlist
You are really amazing sir!!!!!!!!!!
Within this month CNN will be covered?
Damn... u are great man..❤❤❤
sir please complete the playlist
I am excited 🌝
Thanks sir
Hello, Sir. Your videos are extremely knowledgeable. I watch your videos on a regular basis. Could you kindly create a CNN video using CSV files (tabular datasets)? I looked at a few different codes on Kaggle, but I'm not sure how they're transforming CSV files into image format.
But in cnn there is flattern layer where same num of weights and bias computation is occuring how can we say computation cost is more in ann than cnn
Thank You Sir.
informative dear 😃
How much time do I need to understand CNN, DNN, ANN, CRAN, GAN if I know python programming & very much basics of ML like supervised & unsupervised learning & some applications.
nicely explained
Thank you sir to start cnn
Sir please make a course on yolov object detection
I can know Deep Learning A to Z by reading any book. Pls if you suggest any book that would be good for beginners
Sir why this pixels are squared why not hexagonal?
Sir CNN me Object Detection pura deeply cover karna please after RNN jbb bhi padhaoge. Koshis karo ki thoda jaldi le ao videos.
Thankyou Sir!
can you please provide ppts of this??
finished watching
nicely explained
I tried to follow but couldnt cope with the language switch. Would have loved to listen to this
Bestest❤
❤❤❤❤❤
Best
Dopamine hit!
bestestttt
Audio Bohat disturbing hai , bahar ke aavaje , Birds , Horn , Barthan , Etc.
Hearphone pahanke baitu to kuch der ke liye dar lagne lagta hai , jaise ki mere aaju baju me kuch chal rha ho...
Teaching to outstanding ..!
best
computer vision starts here
🙏
👌
❤
Please use more English in your videos
Please 🙏
I prefer in chinese🤣
thanks sir