Although he is a playing a role of a teacher he is requesting us... to pick a pen and paper to practice to make sure that we understand how it works. It shows how obedient he is towards others.... God Gifted teacher
Sir You actually know how human brain works, thats why you are teaching how NN works and then teaching the Backpropagation, so that we can connect the backpropagation with the neural network. Great Sir. Your teaching style is great.
i have never seen such a great teacher for ML and DL on yt or in my college the way nitish sir explains is so easy to understand and it helps grasp the basics very well. Thank you so much sir for such great efforts this channel needs so much recognition and it will reach it i definitely believe that. I HAVE ALREADY SUGGESTED THIS CHANNEL TO SO MANY OF MY OTHER PEERS WHO ARE LEANRING ML AND DL
bht zayada dar tha k neural network pta nhi kya bala hai lakin sir ap k teaching method sy aisy laga k ye sab kuch nhi ap ka lecture 5 second b skip nhi kr skaty har point pr kuch na kuch learning k leye hai love u sir from Pakistan
really appreciate how you are sharing your knowledge for free, i have paid almost 2L in IIT Delhi for this course and really not enjoying their sessions. But your sessions are addiction, i have started feeling confident by each passing day.
Excellent video with clear explanation. One of my favorite channels on ML. Sir, could you please also venture into federated learning in conjunction with ML/DL. That would be much appreciated. Again thank you for your great videos.
Thank you so much sir i really try to understand this keras topic maine bahut jagah dekha but samjh nahi aya maine chatgpt se bhi samajhane ko kaha uska bhi samjh nahi aya but you are grate sir ❤
Thanks and greetings from Oman. Can we draw these ANNs layerwise graphically using some package, Seaborn code, etc.? If so, share a video, sample code link, API, etc.
Sir ye kaise maloom hoga ki kitne hidden layer add kerne hain aur each layer mein kitne node honge, is hyperparameter ko tune kerna ka koi code hai kya ?
Your videos is really informative and easy to understand. And i have been following your playlists. In this video i found something that is not clear to me and i also tried to check twice more. My problem is while one hot encoding command used is "pd.get_dummies(df,columns=['Geography','Gender'],drop_first=True)" and just below used "df.head()" i found out is that 2 columns are missing that are "Geography_France" and "Gender_Female". Are these mistakenly missing or you intentionaly did it. Please reply Thank again for your video s Sir.
I also thought that he missed the those columns. But it might have been done to reduce the time complexity of the model. BTW I am also not sure why he did that.
It is a sign of a great teacher if he/she can explain difficult concepts in simple words. Nitish fits into the category easily !!!
Although he is a playing a role of a teacher he is requesting us... to pick a pen and paper to practice to make sure that we understand how it works. It shows how obedient he is towards others.... God Gifted teacher
Yesssss.....he is great and much passionate.
He is 🐐
How can anyone be so good at teaching. have got addicted to this channel.
You are bollion times better than my university professors
Love You Sir From Pakistan❣
Sir You actually know how human brain works, thats why you are teaching how NN works and then teaching the Backpropagation, so that we can connect the backpropagation with the neural network. Great Sir. Your teaching style is great.
We can't thank you enough🙌 your voice is so soothing.
just see the glimmer in his eyes!! Maverick of DS man!
I want a million more subscribers for your channel, such a great teacher.
Genuinely, you are among the best educators available for ML/DL.
bhaiya app best ho!!! aap jaisa koi nahi.... thank you hum logo ke liye itni mehnat karne ke liye.... dil se thank you!!!! : )
thank you bhai i have been watching your videos .... got the job finally u were a big help..thanks!!!
Very clear and simple explanation, which any beginner will easily understand. Awesome lectures. Please keep uploading the further contents.
The best explanation i got in my 12 months learning
i have never seen such a great teacher for ML and DL on yt or in my college the way nitish sir explains is so easy to understand and it helps grasp the basics very well. Thank you so much sir for such great efforts this channel needs so much recognition and it will reach it i definitely believe that.
I HAVE ALREADY SUGGESTED THIS CHANNEL TO SO MANY OF MY OTHER PEERS WHO ARE LEANRING ML AND DL
Bhaiya please continue this course!!
This is one of the best DL courses
The explanation is so good. I watched a lot of videos for ANN but your playlist is truely a gem. Please keep uploading more videos sir!
One of the best teacher I have ever seen . With clear concepts and simple explanation skills❤❤❤ love from pakistan 🇵🇰🇵🇰🇵🇰
Where are you from Pakistan?
@@pythonforfree7297 v4 toy ka sangtoy tu..
Very Informational and way of explanation is amazing sir...thank you
bht zayada dar tha k neural network pta nhi kya bala hai lakin sir ap k teaching method sy aisy laga k ye sab kuch nhi ap ka lecture 5 second b skip nhi kr skaty har point pr kuch na kuch learning k leye hai love u sir from Pakistan
really appreciate how you are sharing your knowledge for free, i have paid almost 2L in IIT Delhi for this course and really not enjoying their sessions. But your sessions are addiction, i have started feeling confident by each passing day.
You have Style to explain ML concept in a very easy manner
Thank You
Best Video about ANN . Concept clearning video . Thank you sir for this
dil se thank you bhai jii for making these simpler videos
Excellent video with clear explanation. One of my favorite channels on ML.
Sir, could you please also venture into federated learning in conjunction with ML/DL. That would be much appreciated.
Again thank you for your great videos.
This was an easy and amazing video. You have given us very deep knowledge. Thank you so much. Keep going... 👏👏👏👏👏👏👏👏
This video actually helped a lot put things in perspective.
You have really a best/great teaching skills.. hat's off sir..
Best explanation !! you make ML DL so easy for us.
Bhaisaab... Yakeen nhi hota... Boring se boring topic ko bhi ye banda itna interesting trah se padha skta h.. Can't believe 🙏🙏
Thank you so much sir i really try to understand this keras topic maine bahut jagah dekha but samjh nahi aya maine chatgpt se bhi samajhane ko kaha uska bhi samjh nahi aya but you are grate sir ❤
Mind blowing sir
Thanks for this great and simple explanation!!
learning way is too good pls upload more projects ML and DL
best channel for Ai
mindblowing explanation sir jee
Best practical lecture, very simple and clear. Thanks
Great efforts. Thank you for each video !!
Informative and clear content. Thank you sir.
I love your way of teaching 😊😊
you maded it, super easy, thanks!
bhot badhiya padhaya hai bhaiya😇
thank you so much sir ,your work is highly appreciated
amazing content
Mza a gya hindi Me ml, DL sikhke
❤️❤️❤️😋🏓 Sir really you are Amazing.
This one video was enough to motivate me to keep learning Deep.
Hi Sir! at 16:43 first you said it is input layer after that you said it is a hidden layer. I am confused. Someone please explain.
we are providing 11 inputs to the hidden layer 1 which contains 3 neurons.
outstanding, very easy. I salut
Thanks and greetings from Oman. Can we draw these ANNs layerwise graphically using some package, Seaborn code, etc.? If so, share a video, sample code link, API, etc.
excellent video
hatsoff sir.....
😌
We preprocessed the X_train test as
X_train_trf=scaler.fit_transfrom(X_train)
so while passing to the model we shoulf pass X_train_trf ,right??
@25:30 sir hidden layer 1 hi h ye coding me kha show ho rha h???
nice video.
Great video
Thanks for the video
enjoying the great content
Sir Mai 2 din baad apse milne aa raha hu.. Kolkata CampusX Sector 5 head office me.
Sir ye kaise maloom hoga ki kitne hidden layer add kerne hain aur each layer mein kitne node honge, is hyperparameter ko tune kerna ka koi code hai kya ?
Video daalenge next
Link to the notebook:
www.kaggle.com/campusx/notebook8ad570467f
Nitish and his channel #CampusX is going to be next big thing on RUclips soon...
love you Sir from pak
Nice explanation.
Great video 🙏
❤❤bestest
Please make video on feature selection techniques,imbalanced dataset and post in ML playlist
Your videos is really informative and easy to understand. And i have been following your playlists. In this video i found something that is not clear to me and i also tried to check twice more. My problem is while one hot encoding command used is "pd.get_dummies(df,columns=['Geography','Gender'],drop_first=True)" and just below used "df.head()" i found out is that 2 columns are missing that are "Geography_France" and "Gender_Female". Are these mistakenly missing or you intentionaly did it. Please reply Thank again for your video s Sir.
I also thought that he missed the those columns. But it might have been done to reduce the time complexity of the model. BTW I am also not sure why he did that.
Failed to convert a NumPy array to a Tensor (Unsupported object type int). Did you get this error in the code?
Great
model = Sequential()
model.add(Embedding(10000,2,input_length=50))
model.add(SimpleRNN(32,return_sequences=False))
model.add(Dense(1,activation='sigmoid'))
model.summary()
Clear explanation
best explanation
love it 😍 🥰
Thankyou!
Perfect sekhate hi..essa lagta every thing is so easy
Amazing again.
You are really great
great
i can't resist myself to comment
Very Nice
informative
Bahut maja aaya
I have one doubt, Is scaling ordinal values beneficial??
Thank you sir
How to find the right number of hidden layer with nodes?
Kudos bhaiyya
Failed to convert a NumPy array to a Tensor (Unsupported object type int). Anyone getting this error in the code?
# Convert X_train and y_train to np.float32
X_train = np.asarray(X_train).astype(np.float32)
y_train = np.asarray(y_train).astype(np.float32)
x_test = np.asarray(x_test).astype(np.float32)
Try to convert the values to np.float32 , try this.
Superb
sir please start full ml,dl course (live class)
finished watching
WoW! 👍
can i run same code on matlab
Bhai ❤
Wah!
😊😊
👍👍👍👍
A little bit understandable
wow
best
Perfect
🙏