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Hi all I want to create Neural network optimized by GA but I totaly donot know anything about matlab so I will tell all the steps and tell me wh...
I'm trying to implement the CNN algorithm that used on paper (A Deep-Network Solution Towards Model-less Obstacle Avoidance)for Lei Tai, Shaohua Li,...
Why does "mapstd" returns unexpected dimensions when I apply it to a new sample data? I have 4 sample data, each containing 2 predictor variables:...
Hi. I'm using optimization algorithm to find best structure+inputs of a 'patternnet' neural network in MATLAB R2014a using 5-fold cross validation....
Why is predicting the output of a trained neural network by using "net/sim" different than manually calculating the output using the network weights, ...
When I create a SOM using the following: >> x = simplecluster_dataset; >> net = selforgmap([10 10]); >> net = train(net, x); I click "SOM Sample ...
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 ...
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? >> inpu...
Why does AlexNet have non-scalar values for NumChannels and NumFilters in some convolutional layers? Take the layers 'conv1' and 'conv2' for example. ...
How to get the encoded data from a retrained autoencoder? Here is my example: X = bodyfat_dataset; autoenc = trainAutoencoder(X); extract1= enco...