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Why is predicting the output of a trained neural network by using "net/sim" different than manually calculating the output using the network weights, biases and transfer functions?…
When I create a SOM using the following: >> x = simplecluster_dataset; >> net = selforgmap([10 10]); >> net = train(net, x); I click "SOM Sample Hits", the number in each hexa…
Hello everybody, In order to determine optimal hidden neurons, Trial and error algorithm has been used (trial = 10, 10 < H < 100, dH = 100). I get the table on top but i can not…
If you have elements of 2D data that are put into a 3D inputs variable, is it possible to do pattern recognition on this data in MATLAB? >> inputs = rand(3,3,10); >> targets …
Why does AlexNet have non-scalar values for NumChannels and NumFilters in some convolutional layers? Take the layers 'conv1' and 'conv2' for example. 'conv1' has 3 channels and 96 …
How to get the encoded data from a retrained autoencoder? Here is my example: X = bodyfat_dataset; autoenc = trainAutoencoder(X); extract1= encode(autoenc,X)' %convert to a n…
Mapstd is used for standardization, mapminmax is for normalization. But When to use mapstd and mapminmax? I want to do a regression(function fitting) with neural network. While I a…
I would like to confirm a few images just to understand what imageDataAugmenter does. Is there a way to visualize the augmented image data created by the imageDataAugmenter? …
I am trying to use MATLAB and the Neural Network Toolbox to predict a future value from a time series. I am trying to use a recurrent network (Elman), but am unable to get it worki…
There is some interesting behaviour with plotconfusion when passing it double values instead of categorical values. If I have some predicted responses and plot the confusion matrix…