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Neural network validation checks net.TrainParam.max_fail <- is a bigger or a smaller number better?
1. Training stops when any of these conditions occurs: "Validation performance has increased more than max_fail times since the...
Neural network validation checks net.TrainParam.max_fail <- is a bigger or a smaller number better?
1. Training stops when any of these conditions occurs: "Validation performance has increased more than max_fail times since the...
1 year 前 | 0
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Manually Training and Testing Backpropagation Neural Network with different inputs
you can try with this code i its more simplified: https://www.mathworks.com/matlabcentral/fileexchange/69947-back-propagation-al...
Manually Training and Testing Backpropagation Neural Network with different inputs
you can try with this code i its more simplified: https://www.mathworks.com/matlabcentral/fileexchange/69947-back-propagation-al...
1 year 前 | 0
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Error using trainNetwork. Number of observations in X and Y disagree
This is my first time building a neural net and am slowly working through the process. What I am trying to do: I have ~40,000...
Error using trainNetwork. Number of observations in X and Y disagree
This is my first time building a neural net and am slowly working through the process. What I am trying to do: I have ~40,000...
1 year 前 | 0
已回答
Neural network validation checks net.TrainParam.max_fail <- is a bigger or a smaller number better?
1. Training stops when any of these conditions occurs: "Validation performance has incr...
Neural network validation checks net.TrainParam.max_fail <- is a bigger or a smaller number better?
1. Training stops when any of these conditions occurs: "Validation performance has incr...
1 year 前 | 0
已回答
How to use a self-made loss function for a simple Neural Network in Matlab?
I have been using net = feedforwardnet(10) %or net = fitnet(10) for my regression problem in Matlab. I am using simple netwo...
How to use a self-made loss function for a simple Neural Network in Matlab?
I have been using net = feedforwardnet(10) %or net = fitnet(10) for my regression problem in Matlab. I am using simple netwo...
1 year 前 | 0
已回答
Obtaining mathematical equation from neural network toolbox after training
My ANN is for 5 inputs and 1 output, N neurons in a single hidden layer and output. Tansig transfer function was used in the hid...
Obtaining mathematical equation from neural network toolbox after training
My ANN is for 5 inputs and 1 output, N neurons in a single hidden layer and output. Tansig transfer function was used in the hid...
1 year 前 | 0
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how can i plot R2(regression line) between target and prediction
Firstly, as R2 is a scalar, it cannot be plotted. To plot the regression line, follow the example shown in the link below: plo...
how can i plot R2(regression line) between target and prediction
Firstly, as R2 is a scalar, it cannot be plotted. To plot the regression line, follow the example shown in the link below: plo...
1 year 前 | 0
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difference between fitcnet and patternnet functions
1. FITNET for regression (MATLAB calls it curve fitting) which is supposed to be a replacement for NEWFF) 2. PATTERNNET for pat...
difference between fitcnet and patternnet functions
1. FITNET for regression (MATLAB calls it curve fitting) which is supposed to be a replacement for NEWFF) 2. PATTERNNET for pat...
1 year 前 | 0
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Error using trainNetwork. Number of observations in X and Y disagree
The first two input argument of trainNetwork function - X and Y, are reshapedData and nnTrainLables’ respectively, in your pro...
Error using trainNetwork. Number of observations in X and Y disagree
The first two input argument of trainNetwork function - X and Y, are reshapedData and nnTrainLables’ respectively, in your pro...
1 year 前 | 0
已回答
Neural network validation checks net.TrainParam.max_fail <- is a bigger or a smaller number better?
1. Training stops when any of these conditions occurs: "Validation performance has increased more than max_fail times since the...
Neural network validation checks net.TrainParam.max_fail <- is a bigger or a smaller number better?
1. Training stops when any of these conditions occurs: "Validation performance has increased more than max_fail times since the...
1 year 前 | 0
已回答
Speech recognition Coding
First you need fundamentals of speech processing. Witch includes speech signal basic sounds and features. DSP techniques lik...
Speech recognition Coding
First you need fundamentals of speech processing. Witch includes speech signal basic sounds and features. DSP techniques lik...
1 year 前 | 0
已回答
matlab display string in multiple lines
now at each place you want it broken, insert the two-character sequence \n Disp(sprintf('shdujfhdkjshfkjs\ndh
matlab display string in multiple lines
now at each place you want it broken, insert the two-character sequence \n Disp(sprintf('shdujfhdkjshfkjs\ndh
1 year 前 | 0
