In all the videos up until now, The concept explanation is top notch but whenever maths comes into the picture, its all copied without any explanation. Maybe its better to take a maths course side by side to understand all this complex derivations. If someone has some playlist for understanding maths, please recommend.
I'm not able to follow the intent behind these derivations and maths. Why are you just doing formula after formula after formula without even explaining the need to do so.
Nptel still follows old method of teaching which I feel cannot create a major impact on students they could have improved their method of teaching
thank you making this available outside IIT, for those of us who did not have enough neurons to clear IIT exams
haha
😂😂😂😂
you must also need enough neurons to understand these videos iit
madom you are awesome
In all the videos up until now,
The concept explanation is top notch but whenever maths comes into the picture, its all copied without any explanation.
Maybe its better to take a maths course side by side to understand all this complex derivations.
If someone has some playlist for understanding maths, please recommend.
I'm not able to follow the intent behind these derivations and maths. Why are you just doing formula after formula after formula without even explaining the need to do so.
I think she did explain it, not very precisly maybe but just enough to let us know how things work which is justificable.
I wish you can teach me every subject.
Mam, your way of teaching a subject is AWESOME.
I respect you mam!
Looks a class in the village classroom
Your point being?
Nikhil Kenvetil He wants to invest his fortune to develop the site better. Just show him the payment page of NPTEL.
IIT kharagpur is not located in the city so yes a village where you'll find amazing people and also CCD
Wow!!!!!
Very clear and helping.....
Mam, I believe the loss function that you have given should be the log loss as you used the sigmoid activation function..
Can anyone help me out with what exactly is xij in the derivative of error function of gradient descent