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I am able to successfully run the example "Denoise Speech Using Deep Learning Networks" without any modifications. In the section 'Test the Denoising Networks' the code currently c…
i want to change the transfer function of output layer from purelin(difult) to other function like hardlim. i khow that i could use "net.layers{1}.transferFcn='tansig'" for layers …
When loading a previously trained CNN, I got an issue with the batch normalization layers. When looking into the loaded CNN model the trainable mean and variance are empty. Name: '…
where inp is my input image inp=b DatasetPath=fullfile('C:\Users\Desktop\to'); imds=imageDatastore(DatasetPath, 'IncludeSubfolders', true,... 'LabelSource','foldernames','fil…
the excel file has the dataset. it has 24 columns. first 12 columns has the target value 1. the last 12 colums have the target value 0. i wanted to design a NN for classification i…
I am trying to find all possible combinations of three vectors (A,B,C). For this, I tried using combvec. However, the result gets me a 1281x1 double, while i expected a matrix of 5…
I need a workable Back Propagation NN code. My Inputs are 100X3 dimension and outputs are 100X2 dimension.Sample size is 100. For example 1st 5 samples are inputs [-46 -69 -82; -46…
I am trying to train my RL agent (ddpg) but it's performing quite poorly. I think it may be a problem with the hyperparameter values since I have not tuning. Now I have two questio…
Hi, I am having trouble when trying to use the "classify" function to evaluate the performance of my neural network. I am using the following code: net = load('mynet.mat')…
We are implementing it as described in [Waveform Segmentation Using Deep Learning]. https://www.mathworks.com/help/signal/ug/waveform-segmentation-using-deep-learning.html I get an…