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

1 month ago | 0

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How to train "timedelaynet" using "trainNetwork" function in Deep Learning Toolbox?

I have build a Time delay neural network and I wanna avoid use "train" function, and I want to train it using "trainNetwork" fun...

2 months ago | 0 answers | 0

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Training Time delay neural networks with Parallel and GPU Computing ?

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How to run Python script in MATLAB?

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How can I edit Live editor sheet when I access MATLAB remotely?

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How to build Time delay Neural network using deep learning layers?

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10 months ago | 1 answer | 0

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How to achieve the stable training for time delay neural network ?

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10 months ago | 1 answer | 0

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

I have my own function that able to build and train Time delay Neural network [Trained_Model]=Train_RVTDNN(NN, Input, target); ...

10 months ago | 1 answer | 0

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Deleting some layers from trained neural network model

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11 months ago | 1 answer | 0

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How can I freeze specific weights of Neural network model?

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11 months ago | 1 answer | 0

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"Relu" activation function and "Adam" optimizer for Time delay neural network

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11 months ago | 0 answers | 0

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Build Time delay neural network using Deep learning tool box

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11 months ago | 0 answers | 0

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

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1 year ago | 1 answer | 0

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Defining my objective function using vector of variables for lsqnonlin

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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)

1 year ago | 0

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How to generate polynomial matrix in classification problems ?

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1 year ago | 0 answers | 0

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The Number of coefficents of Time delay neural network

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1 year ago | 1 answer | 0

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combining two neural networks (net1 is trained & net2 is untrained) in one bigger network

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1 year ago | 2 answers | 0

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Set a specific weight for a connection in neural networks

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1 year ago | 1 answer | 0

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How to define a multivariable function (for instance an anonymous function) of a number of variables that varies according to the size of an array variable?

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1 year ago | 1 answer | 0

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what is the problem of the Power Amplifier curve for this WCDMA measurements ?

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1 year ago | 0 answers | 0

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...

1 year ago | 0

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How can I design flat magnitude response IIR filter ?

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How can I design such this Digital Filter using MALAB not simulink?

1 year ago | 1 answer | 0

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How can I specify AWGN block in SIMULINK?

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1 year ago | 1 answer | 0

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How can I change signal Constellation Equation to get QAM not PSK?

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1 year ago | 1 answer | 0