Lecture - 36 Leavning Using neural Networks - I
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Uploaded by nptelhrd on Oct 16, 2008
Lecture Series on Artificial Intelligence by Prof.Sudeshna Sarkar and Prof.Anupam Basu, Department of Computer Science and Engineering,I.I.T, Kharagpur . For more details on NPTEL visit http://nptel.iitm.ac.in.
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Very well presented. The English is very good, so we can understand very well the lecture. There are some teachers that impossible to understand.... It was very helpful. Thanks
Very beautiful teacher :-)
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@manavTHEDARKKNIGHT This must either be extremely basic stuff for you, or it's far ahead of your experience, and you decided to attack the teacher for your not understanding.
Either way, everything in this video checks out with what I know about neural networks. :P
If this is very basic stuff to you, then don't criticize the teacher... that would be like going into a kindergarten class and criticizing the teacher for only teaching the basics, and not teaching algebra or some shit like that :P
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Very Thanks for Sharing
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Nice lecture! but some minor errors.
at 22:50, the statement made is "delta w i is +ve when X i is +ve and delta w i -s -ve when x i is -ve."
I guess, this is wrong. The sign of the delta w is not dependent on x i. rather, it depends on the sign of the error. i.e (t - o). if (t - o) is -ve, reduce W. Else if (t-o) is +ve: increase W. Else if (t-o) is zero: no change.
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man,don't teach unless you have any idea about the subject................very bad video.....
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excellent video and yes the professor is certainly a radiant and captivating presence. I feel like I'm trying harder than usual to understand because I don't want the good lady to think I'm thick!. Mind you, I don't think this message is going to impress anybody ..
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great and very beautiful teacher ! cheer
vangtid 2 years ago 6
at 57:20.
Actually the sigmoid function becomes steeper for k > 1. The graph show here is for k = 10. NOT k= 0.1
vxgokulvx 2 years ago 3