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Hello, I want to make a feedforward backpropagation neural network in order to solve a classification problem. Let's say I want to import a data set from UCI Machine Learning Repos…
Hi, Once you have trained a neural network, is it possible to obtain a derivative of it? I have a neural network "net" in a structure. I would like to know if there is a routine th…
How can I improve generalization for my Neural Network? I have a network that is trained with very low error but it does not perform well with new data sets. Is there something …
I am trying to adapt example provided here https://www.mathworks.com/help/releases/R2017a/nnet/examples/training-a-deep-neural-network-for-digit-classification.html Except that …
I am trying to use the deep learning toolbox to train a CNN network. Matlab is installed on a remote machine and I am accessing it via jupyter using the matlab supplied python bi…
Hi, I'm trying to create a custom intermediate layer that can split up data. When I use checkLayer to validate the functionality it throws the error: "Incorrect number of output…
Hi, Well, since I'm working on PatternNets (Classification), my doubt is, how do we decide then number of hiddenlayers the network requires. Before that, I have 8 predictors and…
Hello. I’m new here and I have a problem with the neural network toolbox that is unbearably frustrating because it should be the easiest thing in the world but I’m not getting …
Hi all, I'm getting the following error running the 3-D Brain Tumor Segmentation example (https://www.mathworks.com/help/images/segment-3d-brain-tumor-using-deep-learning.html) …
I made a table for neural network regression, regNet = trainNetwork(trData,'Percent',layers,options), and gor the following error Error using trainNetwork (line 165) Invalid traini…