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
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
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.
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.
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
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 ❤
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.
import tensorflow from tensorflow import keras from tensorflow.keras import Sequential from tensorflow.keras.layers import Dense model = Sequential() model.add(Dense(3, activation='sigmoid', input_dim=11)) model.add(Dense(1, activation='sigmoid')) model.summary()
