For a fixed integer C > 0, given a sequence of {r;}{1, and {y:}E=1 with y: = (E=max{t-C,1} T3)°, construct a recurrent neural network (you can pick any activation functions and hidden weights as you like) which takes the sequence of {r¿}-1 as inputs such that the output sequence {ot}te[T] satisfies: O = yt

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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For a fixed integer C > 0, given a sequence of {rt}{_1, and {yt}E, with yt = (E-max{t-C,1} #s)°, construct
a recurrent neural network (you can pick any activation functions and hidden weights as you like) which
takes the sequence of {rt}{1 as inputs such that the output sequence {o}}i€[T] satisfies:
OL = Y1
Transcribed Image Text:For a fixed integer C > 0, given a sequence of {rt}{_1, and {yt}E, with yt = (E-max{t-C,1} #s)°, construct a recurrent neural network (you can pick any activation functions and hidden weights as you like) which takes the sequence of {rt}{1 as inputs such that the output sequence {o}}i€[T] satisfies: OL = Y1
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