Answered

How to "prune" a one hidden layer NN such that the off diagonal elements of the weights, that is, "net.IW{1}" and "net.LW{2}", are zeros?

https://uk.mathworks.com/help/deeplearning/ref/prune.html

How to "prune" a one hidden layer NN such that the off diagonal elements of the weights, that is, "net.IW{1}" and "net.LW{2}", are zeros?

https://uk.mathworks.com/help/deeplearning/ref/prune.html

4 Tage ago | 0

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etwa 2 Monate ago | 0 answers | 0

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9 Monate ago | 1 answer | 0

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create a variable whose name is changed over iteration number in for loop ?

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9 Monate ago | 1 answer | 0

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10 Monate ago | 1 answer | 0

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workaround for handling a large number of variables in the objective function of lsqnonlin

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11 Monate ago | 1 answer | 0

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Answered

optimization with many variables - lsqnonlin

I wanna avoid defining these large variables manually. Is there any simple method for this? x(1) x(2) x(3) ...... x(n)

optimization with many variables - lsqnonlin

I wanna avoid defining these large variables manually. Is there any simple method for this? x(1) x(2) x(3) ...... x(n)

11 Monate ago | 0

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How to generate polynomial matrix in classification problems ?

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etwa ein Jahr ago | 0 answers | 0

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etwa ein Jahr ago | 1 answer | 0

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Answered

Digital Predistortion for PA model

have you find the app that is used in this link ? https://www.mathworks.com/videos/digital-predistortion-for-power-amplifiers-6...

Digital Predistortion for PA model

have you find the app that is used in this link ? https://www.mathworks.com/videos/digital-predistortion-for-power-amplifiers-6...

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mehr als ein Jahr ago | 1 answer | 0