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Lecture - 27 Learning : Neural Networks

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Uploaded by on Apr 30, 2008

Lecture Series on Artificial Intelligence by Prof. P. Dasgupta, Department of Computer Science & Engineering, IIT Kharagpur. For more Courses visit http://nptel.iitm.ac.in

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  • Amazing video ... great examples.. love NN!!!... saved me a lot of time reading the lecture slides ;) way to go IIT!!!

  • I very much like these lectures from India Universities.

    Interesting to see how students got confused when he did calculations for error-minimizatin. Using x as multiplication sign and as a variable is certainly not helpful in writing equations.

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  • @Norman60Fahrer

    How many times did (do) you confuse between gas pedal and break pedal when you are driving @ high speeds?

  • @venkatarun95

    Typical 3rd world mentality. Middle east schools are similar in that they focus only on the harder sciences and stupidly think those are the only ones that matter.

    Indians are forgetting their intellectual history of a broad spectrum of ideas.

    To properly understand learning in general, you need to understand psychology, and neuroscience, and cognitive science before you can fully grasp backpropagation being just one way of doing it.

    You know you're not that bright.

  • @nightowl8936 IITan's are expected to know Maths!!

  • This video is average quality. The relatively archaic explanation methods and strong mathematical bias place burdens on the learner to be good at math and able to follow the topics in an order thats not necessarily the easiest.

  • Seems like that the professor is very confused... He's also skipping topics by making excuse "i will tell in a mo" n then forget. Not good for newbies :( . One must read book to learn basics before watching this video.

  • I took SYDE 558 at UW. It is a fairly conceptual course, and I didnt apply it to my design project. It was overall made of good learning material.

  • i dont know why these university professors are so unprofessional and lazy....

  • I used to teach that 20 years ago, but with a more visual method, using color interactive graphics (not as developed as now, but still quite helpful) to understand the different steps and show the convergence over time.

    regarding BIAS: it does NOT matter whether you use + or -, as long as you are consistent throughout the learning and operation phase.

  • we can look forward to the khanacademy version of this ;-)

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