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Instructor : seyed iman ahmadi

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Instructor : seyed iman ahmadi

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    1. ???? ??? ???? ?????? Instructor : seyed iman ahmadi

    3. ???? ???? ????? ???? ???? ?????? ??? ?? ?? ???? ????? ?? ?? ?????? ????? ???? ??????? ????? ?????. ???? ?? ????? ??????? ???? ?? ??? ?? ???? ?? ???? ????? ????? ?? ?????? ????? ?? ?? ????? ??? ??????.

    4. ???? ???? ?? ?????????? ????? ?????? ?? ???? ????? ????? ?? ???? ???????? ??????? ???? ?????? ?????? ??????? ????? ????? ???

    5. ????? ?? ????? ?????? ???? ??? ???? ?????? ?? ?? ????? ???? ?? ????? ??? ?????? ????? ??? ?? ?? ???? ?? ?????? ?????? ?? ??????? ?? ?? ???? ?? ??? ??????? ???? ?????. ???? ????? ?? ??? ????? ?? ????? 10 11 ???? ????? ??? ???? ?? ?? ???? ?? ?????? 104 ???? ???? ?? ?????? ???. ???? ??????? ?????? ?? ???? 10-3 ????? ??? ?? ?? ?????? ?? ?????????? 10 -10 ) ????? ( ????? ????? ???????. ?? ??? ???? ???? ???? ??? ?? 0.1 ????? ????? ?? ????? ?? ?????????? ?????. ??? ???? ??? ?????? ???? ?? ?????? ????? ????? ??? ?? ?????? ????? ?? ?????? ???? ??? ????.

    11. ?? ???????? ??????? ?????? ?? ????? ???? ?? ????? ??? ???? AND, OR, NAND, NOR ??? ???????? XOR?? ????? ???. ?? ???? ?? ???? ???? ?? ?????? ?? ???? ?? ?????? ?? ?????????? ???? ???.

    12. ????? ?????? ?? ???????? ???? ?? ??? ?????? ?? ???? ?? ???????? ???? ??????? ?????? ?????? ???? ?? ????? ?????? ?? ??? ????? : ????? ???????? ????? ????

    13. ???????? ??????? ???????? ??????? ?????? ?? ????? ???? ?????? ????????? ?? ?? ?? ?? ??????? ?????? ????? ??????. ??? ???? ??? ??????? ??? ?????? ?????? ???????? ?? ????? ??????. ??? ????? ??????? ?????? ???? ??????? ??????: ??? ? ????? ???????? ?????? ????? 2 ?????????

    14. ???? ?? ???? ??????X = (x1, x2, …, xn) ?? ?? ????? ????? ?? ???? ????? ???????? ????? ??? ????? ?????: wi = wi + ?wi ?? ?? ??

    15. ???? ?? ?????? ????? ??? ??????? ?????? ????? ???????? ????? ?????? ??. ???? ???? ?? ??? ???? ?? ????? ???? ??????? ?????. ???? ???? ??? ????? ??????? ?? gradient descent ???? ????? ?? ???? ????? ?????? ???? ??????. ??? ????? ???? ??? Backpropagation ??? ?? ???? ????? ???? ?? ????? ???? ?? ?? ???? ???? ?????. ?????? ??? ??? ???? ?? ???? ????? ??????????? ??????? ??? ?? ???? ???? ????? ?? ???? ????? ??? ????? ?????? ?? ????? ????. ????? ???? Delta Rule

    16. ????? ???? Delta Rule ???? ??? ???? ??? ??? ???? ?? ?? ???????? ???? ?? ?????? ????? ??????. ?? ???? ???? ??? ????? ?????? ???? ??? ? ????? ????? ???. ?? ????? ?????? ??? ???? ???: E = ˝ Si (ti – oi) 2 ?? ??? ????? ???? ???? ??????? ?????? ????? ?????.

    17. ???????? gradient descent ?? ???? ?? ???? ????? E ??? ??? ????? ?? ???? ????? ???. ?? ?????? ??????? ????? ?? ????? ??? ?? ????? ????? . ???????? gradient descent ?? ???? ????? ?????? ?????? ?????? ?? ??? ?? ????? ???. ??? ???????? ?? ?? ????? ??????? ???? ????? ??? ???? ???? ? ?? ?? ????? ????? ?? ???? ????? ????? ?? ?? ??? ??? ????? ????? ??? ??? ???? ???? ???.

    18. ???? ????? ????? gradient descent ???? ????: ??????? ?????? ?? ??? ?????? ??? E ??? ?????. ??????? E ???? ?? ????? ??? w ????? ??? ????? ?????: E (W) = [ E’/w0, E’/w1, …, E’/wn] ?? ?? ?? E (W) ?? ?????? E’???? ???? ???? ?? ?? ??? ??????.

    19. ????? ???? Delta Rule ???? ?? ???? ??????X = (x1, x2, …, xn) ?? ?? ????? ????? ?? ???? ????? ???? ????? ??? ????? ?????: wi = wi + ?wi Where ?wi = -? E’(W)/wi ?: learning rate (e.g., 0.1) ????? ???? ????????? ???? ?? ??? ???? ??? ???.

    20. ?????? ??????? ?? ???? ???? ???? ?? ????? ??? ?????? ?????? ??????? ?? ?????? ????: E’(W)/ wi = Si (ti – Oi) (-xi) ??? ????? ??? ????? ??? ????? ?????? ????. ?wi = ? Si (ti – oi) xi

    21. ????? ??????? ????? ???? ???????? ??????? ?? ??????? ?? ????? ???? ????? ??? ??????. ?? ????? ????? ?????? ???? ???? ?? ????? ?? ????? ???? ????? ??? ?? ????? ???? ?? ??? wi ?? ?? ????? ??? ??? ??? ????? ????. ???? ?? ????: ??? wi ?? ????? ??? ????? ????: wi = wi + ? (t – o) xi ????? wi ?? ????? ??? ????? ????: wi = wi + wi ?? ??? ????? ???? ???

    22. ?????? ??? gradient descent ???? ??? ????? ??? ?? ?? ????? ?????? ???? ????? ???? ????? ????. ??? ?? ??? ??? ????? ?????? ???? ???? ????? ???? ?????? ???? ????? ?? ???????? ?????? ???? ?? ???? ????. ?? ??? ??? ??? ???? ???? ??????? ??? ??: ???? ????? ????? ????? ??? ????????? ?????? ????. ????? ??? ???? ???? ???? ????

    23. ????? ??????? gradient descent ?????? ???? ????? ????? ?? ?? ?????? ??? ??????? ???? ?? ???? ?? ???? ?????? ??? ????? ???. ?? ??? ???? ????? ????? ??????? incremental ????? ??????. ??? ??? ?? stochastic gradient descent ??????????. wi = ? (t-o) xi ?? ???? ????? ????? ??????? ????? ??????? ?? ???? ?????? ???? ??????? ???. ??? ????????? ???? ?? ??????? ?????? ???? ????? ??????? ??? step ??????? ?? ????? ????.

    24. ???? ??? ??? ???? What is machine learning? What is machine learning?

    25. ???? What is machine learning? What is machine learning?

    26. ?? ???? ???? What is machine learning? What is machine learning?

    27. ???? ???????? What is machine learning? What is machine learning?

    28. ???????? Back propagation ???? ??????? ??? ??? ?? ???? ??? ???? ?? ??? Back Propagation ??????? ?????. ?? ??? ??? ?? ??????? ?? gradient descent ??? ????? ?? ???? ???? ??? ????? ??? ???? ? ???? ??? ?????? ???. ??? ????? ??? ????? ?????:

    29. ???????? Back propagation ???? ????? ???? ????? ?? ??? ??? ????? ??? ?? ???? ????? ?? ???? ??? ?????? ???? ???? ????? ????? ?????. ??? gradient descent ??? ????? ?? ?? ?????? ???? ??? ?? ????? ?????? ??? ???? ???. ??? ?????? ???? ????? ??? ???????? ?? ?????? ???? ???? ???? ?????.

    30. ???????? BP ???? ?? ?? nin??? ?????? nhidden ??? ????? ? nout ??? ????? ????? ????. ??? ????? ?? ?? ?? ????? ?????? ???? ??? ??? ????. ?? ????? ?? ??? ?????? ) ???? ??? ???( ????? ??? ?? ????? ????: ???? ?? x????? ?? ??????? ??????: ???? X ?? ?? ??? ??? ?? ???? ?????? ???? ???? E ?? ?? ??? ??? ?? ???? ?????? ????.

    31. ?????? ?? ??? ??? ???? ?? ???? X ????? ????? ?? ???? ?? ?????? ???? ?? ?? ??? ??? ????? ?????.

    32. ?????? ?? ??? ??? ???? ?? ???? ????? ???? ??? ?? ????? ??? ?????? ????: dk = Ok (1-Ok)(tk – Ok) ???? ?? ???? ???? ???? ??? ?? ????? ??? ?????? ????: dh = Oh (1-Oh) Sk Wkh dk ??????? ??? ?? ????? ??? ????? ????: Wji = Wji + ?Wji ?? ?? ?? : ?Wji = ? dj Xji

    33. ??? ????? ?????? ???????? BP ??? ?? ????? ?????? ??? ?? ??????? ???? ???? ??? ?????? ????? ?????? ???? ?????? ?? ?????? ???? ????? ???????? ???? ???: ???? ??? ?? ????? ?? ????? ???? ???? ???? ?? ??? ?? ?? ????? ????? ??? ???? ???. ???? ???? ?? ??? ?? ??????? ?????? ????? ?? ????? ???? ????? ?????. ??? ????? ????? ?? ???? ??? ?????? ???? ? ??? ???? ???? ????? Overfitting ?? ????? ???.

    34. ???? ???????? BP ??? ???????? ?? ?????? gradient descent ?? ???? ????? ????? ?????. ???? ??? ?? ?? ?????? ???? ??? ?????? ?? ??? ????? ???? ???? ??? ???? ????? ?? ?????? ???? ?????? ?????? ???? ????: ?????? ????? ??????? ?? stochastic gradient descent ??????? ?????? ??? ????? ?? ?????? ??????? ???? ?????? ?????

    35. ?????? ????? ?????? ????? ????? ????? ?? ???? ?? ??? ???? ?? ????? ??? ?? ???? n ?? ?? ??? ?? ?????? ???????? ?? ????? ???? ????? ????? ????. ?Wji (n) = ? dj Xji + a?Wji (n-1) ?? ?? ?? ?????????? a ????? 0 <= a <= 1 ??????. ?????? ????? ???? ????? ?? ?? ???? ?? ???? ???? ?? ??? ???: ?? ??? ?????? ?? ????? ???? ????? ??? ?? ????????? ?? ???? ??? ????? ??? ?? ?????? ?????? ????? ??? ???????? ???? ????? ?????? ????.

    36. ???? ????? ????? ???? ???? ????? ????? ?? ???? ?? ???? feedforward ???? ?? ??? ? ??????? ???? ????? ?? ??? ???? ????? ??? ?? ?????? ?? ???? ?????? ??? ???? ????: ????? ????: ?? ???? ???? ?? ?????? ???? ?? ???? ?? ???? ????? ???? ????. ????? ??????: ?? ???? ?????? ????? ?? ?????? ???? ?? ???? ?? ???? ????? ??. ????? ?????? ?? ???? ???? ???? ?? ?? ???? ???????? ?? ???? ????? ? ???? ??? ?? ???? ????? ??????? ?????? ???? ???. ????? ??????: ?? ???? ?????? ?? ?????? ?? ?? ???? ?? ???? ?? ?? ???? ????? ????? ??.

    37. ???? ????? ? ????? ?????? ???? ????? ???? ????? ?? ?????? ????? ?? ???? ????? ??????? n ???? ?? ?????? ???? ?? ??? ???? )??n ????? ???????( ??? ???? ????? ?? ???? ???? ????? ???? ????? ?? ???? ?????? ???. ????? ?????? ??? ??? ?? ?????? ????? ??? ???? ???: “smooth interpolation between data points” ?? ??? ???? ?? ???????? BP ??? ????? ?? ????? ?? ?? ?? ?? ??????? ????? ?? ?? ???? ???? ???? ???.

    38. ???? What is machine learning? What is machine learning?

    39. ???? ????? ???? ????? ??? ?? ???? BP ??? ??? ?? ??????? ?? ???? ??? ????? ???? ???????? ?? ?????? ?? ???? ????? ???? ???.

    40. ???? ????? ???? ?????

    41. ????????? What is machine learning? What is machine learning?

    42. ???? ????? ? overfitting What is machine learning? What is machine learning?

    43. ????? ?? ???? overfitting overfitting ???? ?? ????? ????? ???? ?? ??? ????? ??????? ????? ??? ?? ???? ??? ?? ????? ??? ???? ?? ?????? ?????? ?????. ????? ???? ?????? ?? ???? ???? ???? ????? ?? ???? ???? ????? ????? ???? ?????? ?? ??? ?????? ????? ????. ?? ?????? ????? ?????? ??????? ???? ????? ???????? ??? ???? ???????? ????? ? ????? ????? ?? ???? ?????? ???? ? ??????? ???? ????? ?? ?????? ????? ?? ?????? ??????? ?????.

    44. ??? ?? What is machine learning? What is machine learning?

    45. ?????? ???? ??? ??? ????? ?????? ???? ????? ???? ??? ???? ???? ???? ?? ????: ??????? ?? ?????? ????? ???? ???? ??? ??????? ?? ?????? ????? ???? ???? ??? ?? ??? ??????? Hybrid Global Learning Simulated Annealing Genetic Algorithms ??????? ?? ????? ????? ?? ?????? Radial Basis Functions ??????? ?? ?????? ??? ????? ???? ???? Recurrent Network

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