Answered

Crossentropy loss function - What is a good performance goal?

These equations are not necessarily precise. For example: data = design + test design = training + validation In partic...

Crossentropy loss function - What is a good performance goal?

These equations are not necessarily precise. For example: data = design + test design = training + validation In partic...

3 Monate ago | 0

Answered

How can two neural networks be compared for regression based on training and testing results ?

The MATLAB default is training/validation/testing fractions of 0.7/0.15/0.15 Typically, the performance depends on a 1. A...

How can two neural networks be compared for regression based on training and testing results ?

The MATLAB default is training/validation/testing fractions of 0.7/0.15/0.15 Typically, the performance depends on a 1. A...

4 Monate ago | 0

Answered

what types of Network and training are suitable for returning a more precise value?

Plot your targets vs your inputs to see if some of the inputs are not worth using. and/or you can try rejecting inputs based ...

what types of Network and training are suitable for returning a more precise value?

Plot your targets vs your inputs to see if some of the inputs are not worth using. and/or you can try rejecting inputs based ...

4 Monate ago | 0

| accepted

Answered

Issue while mapping weights to a New Feedforward Neural network created using newff

You need to add another component equal to unity to account for a bias weight. Thank you for formally accepting m answer. ...

Issue while mapping weights to a New Feedforward Neural network created using newff

You need to add another component equal to unity to account for a bias weight. Thank you for formally accepting m answer. ...

4 Monate ago | 0

Answered

how to adjust derivatives of backpropagation according to custom error function

Your error function is not at a minimum when output = target Why did you not use the standard E = (output - target)^2 ...

how to adjust derivatives of backpropagation according to custom error function

Your error function is not at a minimum when output = target Why did you not use the standard E = (output - target)^2 ...

4 Monate ago | 0

| accepted

Answered

How to compute gradients using the Neural Network Toolbox software?

help gradient doc gradient Thank you for formally accepting my answer Greg

How to compute gradients using the Neural Network Toolbox software?

help gradient doc gradient Thank you for formally accepting my answer Greg

4 Monate ago | 0

Answered

An error occurred while trying to determine whether "readData" is a function name.

>> help readData readData not found >> doc readData SUCCESS !!! Hope this helps THANK YOU FOR FORMALLY ACCEPTING MY A...

An error occurred while trying to determine whether "readData" is a function name.

>> help readData readData not found >> doc readData SUCCESS !!! Hope this helps THANK YOU FOR FORMALLY ACCEPTING MY A...

4 Monate ago | 0

Answered

Create neural Network with multiple outputs

See my comment. Greg

Create neural Network with multiple outputs

See my comment. Greg

4 Monate ago | 0

| accepted

Answered

Overfitting of Regression Plot for a Feedforward Neural Network

OVERFITTING IS NOT "THE" PROBLEM !!! In general, the problem is OVERTRAINING an overfit net. My solution is simple: DO NOT OV...

Overfitting of Regression Plot for a Feedforward Neural Network

OVERFITTING IS NOT "THE" PROBLEM !!! In general, the problem is OVERTRAINING an overfit net. My solution is simple: DO NOT OV...

4 Monate ago | 0

| accepted

Answered

Neural Network Last Layer Shows a Different Number of Outputs

Line 2: target, not output trainFcn is undefined. I get 15, not 13 in the figure Hope this helps. Thank you for formal...

Neural Network Last Layer Shows a Different Number of Outputs

Line 2: target, not output trainFcn is undefined. I get 15, not 13 in the figure Hope this helps. Thank you for formal...

4 Monate ago | 0

Answered

When I should stop training a neural network?

The danger is OVERTRAINING an OVERFIT NET. There are several approaches. 1. PREVENT OVERFITTING the I-H-O net by ...

When I should stop training a neural network?

The danger is OVERTRAINING an OVERFIT NET. There are several approaches. 1. PREVENT OVERFITTING the I-H-O net by ...

4 Monate ago | 1

| accepted

Answered

Artificial Neural Network questions

The typical NN has a set of input nodes ( which for some reason is not defined to be a layer !!! ), a middle layer and an outpu...

Artificial Neural Network questions

The typical NN has a set of input nodes ( which for some reason is not defined to be a layer !!! ), a middle layer and an outpu...

4 Monate ago | 0

| accepted

Answered

Do Multiple Output Neural Networks share the same weights and biases?

The similarity or orthogonality of the outputs tends to be irrelevant. If two set of outputs are not caused by a significant ...

Do Multiple Output Neural Networks share the same weights and biases?

The similarity or orthogonality of the outputs tends to be irrelevant. If two set of outputs are not caused by a significant ...

4 Monate ago | 0

| accepted

Answered

What is the difference between pca and processpca commands?

help pca doc pca help processpca doc processpca Hope this helps Thank you for formally accepting my answer Greg

What is the difference between pca and processpca commands?

help pca doc pca help processpca doc processpca Hope this helps Thank you for formally accepting my answer Greg

4 Monate ago | 0

| accepted

Answered

Difference between 2D input and multiple input with recurrent neural networks for time series

Written MATLAB should treat the cases the same. Unfortunately I don't have time to prove it Greg

Difference between 2D input and multiple input with recurrent neural networks for time series

Written MATLAB should treat the cases the same. Unfortunately I don't have time to prove it Greg

4 Monate ago | 1

| accepted

Answered

how can i train my network for test and validation data?

The MATLAB default AUTOMATICALLY splits the data into TRAINING + VALIDATION+TEST SUBSETS in the ratios 0.7/0.15/0.15. For r...

how can i train my network for test and validation data?

The MATLAB default AUTOMATICALLY splits the data into TRAINING + VALIDATION+TEST SUBSETS in the ratios 0.7/0.15/0.15. For r...

4 Monate ago | 0

Answered

Best Neural Network for Multivariate Regression

Use FITNET. Accept all parameter settings. Train 10 models with different random initial weights If unsuccessful. Repeat wi...

Best Neural Network for Multivariate Regression

Use FITNET. Accept all parameter settings. Train 10 models with different random initial weights If unsuccessful. Repeat wi...

4 Monate ago | 0

| accepted

Answered

how can i train my network for test and validation data?

Where is your training data? The MATLAB default is a random choice of trn/val/tst = 0.7/0.15/0.15 I choose candidate values ...

how can i train my network for test and validation data?

Where is your training data? The MATLAB default is a random choice of trn/val/tst = 0.7/0.15/0.15 I choose candidate values ...

4 Monate ago | 0

Answered

Early Stopping for Deep Networks

It is not clear to me that, based on a random 15% of the data, this is a better choice. It would be interesting to make a formal...

Early Stopping for Deep Networks

It is not clear to me that, based on a random 15% of the data, this is a better choice. It would be interesting to make a formal...

4 Monate ago | 0

Answered

How to compute gradients using the Neural Network Toolbox software through a backpropagation process?

You are confused The target function is constant and independent of the weights. Hope this helps. *Thank you for formal...

How to compute gradients using the Neural Network Toolbox software through a backpropagation process?

You are confused The target function is constant and independent of the weights. Hope this helps. *Thank you for formal...

4 Monate ago | 0

Answered

Setting the best training / validation ratio in a Neural Network

1. ALWAYS START WITH 10 DESIGNS USING THE MATLAB DEFAULT! 2. Then evaluate the results to determine what to modify. ...

Setting the best training / validation ratio in a Neural Network

1. ALWAYS START WITH 10 DESIGNS USING THE MATLAB DEFAULT! 2. Then evaluate the results to determine what to modify. ...

4 Monate ago | 1

Answered

MATLAB Dropout layer during prediciton

help dropout ... It is important to note that when creating a network, dropout will only be used during training. Hope this he...

MATLAB Dropout layer during prediciton

help dropout ... It is important to note that when creating a network, dropout will only be used during training. Hope this he...

4 Monate ago | 0

Answered

How to use predict(net,X) with Sequence data or data which have single dimensional input?

How do you expect us to help when you do not show us your code ??? Just the fact that the error involves "predict" and you show...

How to use predict(net,X) with Sequence data or data which have single dimensional input?

How do you expect us to help when you do not show us your code ??? Just the fact that the error involves "predict" and you show...

4 Monate ago | 1

Answered

I am unable to understand the code

See help dlmread doc dlmread Thank you for formally accepting my answer Greg

I am unable to understand the code

See help dlmread doc dlmread Thank you for formally accepting my answer Greg

4 Monate ago | 0

Answered

Problem with Fitnet function

Delete the outer parentheses >> ( net = fitnet(10) ) % ERROR >> net = fitnet(10) % OK !!! Tha...

Problem with Fitnet function

Delete the outer parentheses >> ( net = fitnet(10) ) % ERROR >> net = fitnet(10) % OK !!! Tha...

4 Monate ago | 0

Answered

How do I improve my neural network performance?

The mse for the trial answer output = mean(target')' is MSE00 = var(target',1) Therefore , I uase the following as a gen...

How do I improve my neural network performance?

The mse for the trial answer output = mean(target')' is MSE00 = var(target',1) Therefore , I uase the following as a gen...

5 Monate ago | 0

Answered

MLP Pattern discrimination task

Probaby as well as any other technique. *Thank you for formally accepting my answer* Greg

MLP Pattern discrimination task

Probaby as well as any other technique. *Thank you for formally accepting my answer* Greg

5 Monate ago | 1

Answered

Radial Basis Function Networks

Replace x with t Thank you for formally accepting my answer Greg

Radial Basis Function Networks

Replace x with t Thank you for formally accepting my answer Greg

5 Monate ago | 0

| accepted

Answered

how to rewrite this for feedforward neural network for with 52 inputs and 2 output that predict emission rate not for digits, where i get an error of In an assignment A(:) = B, the number of elements in A and B must be the same. Error in line36

Replace the " == " in scores(i)=sum(t_test==pre)/length(t_test); %accuracy with a minus sign ...

how to rewrite this for feedforward neural network for with 52 inputs and 2 output that predict emission rate not for digits, where i get an error of In an assignment A(:) = B, the number of elements in A and B must be the same. Error in line36

Replace the " == " in scores(i)=sum(t_test==pre)/length(t_test); %accuracy with a minus sign ...

5 Monate ago | 0

Answered

How I can implement a custom hidden and a regression output layer with 2 inputs?

Is that one input a scalar or a vector? Hope this helps **Thank you for formally accepting my answer** Greg

How I can implement a custom hidden and a regression output layer with 2 inputs?

Is that one input a scalar or a vector? Hope this helps **Thank you for formally accepting my answer** Greg

5 Monate ago | 0