Answered
In the Matlab command input the following matrices.
As Jon said, completing the MATLAB Onramp course is recommended to learn the essentials of MATLAB. Then you can refer to the do...

2 months ago | 1

Answered
Can anyone help me in reshaping a fully connected layer output to a image?
Instead of writing the code for fullyconnected layer you can make use of the existing fullyConnectedLayer & write the custom lay...

3 months ago | 0

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Answered
How to set up report margin correctly?
As per the documentation of mlreportgen.dom.PageMargins class: "For PDF, the total height of the top margin equals the value of ...

3 months ago | 0

Answered
Error Variable in a parfor cannot be classified - Parfor
The code itself displays the following warnings before executing it: Try to fix these warnings before executing the code & t...

3 months ago | 0

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Answered
Matrix dimensions must agree.
You can refer to Set Breakpoints & Debugging and Analysis to set breakpoint at line 37 and idenitfy the cause of the error. Whi...

3 months ago | 0

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Having a trouble combining two plots using hold and plot3
In order to get black pixels change the color argument from 'b' to 'k' (refer to LineSpec) plot3(X,Y,Z,'o','color','k') In ord...

3 months ago | 0

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I have 2 input files and one output file for supervised learning. I wanted to use nnstart because I really don't know Matlab but I want to learn it. The nnstart tool only allows one input. What should I do?
You can refer to How to give multiple inputs to the train function of Neural Network? and follow the steps mentioned in Using Co...

3 months ago | 0

Answered
I have 189 sets of data, each has dimensions 30x27x159. I input all of them into a cell array using code as stated below. Now I want to find the mean of each set of data. How can i loop all of them and set their name accordingly?
From the above code I see that you have used the mean function twice, instead of that you can make use of the following syntax M...

3 months ago | 0

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neural network training for price and load forecasting
To get started refer to the documentation of the following: Function Approximation and Clustering, Deep Learning Tips and Tricks...

3 months ago | 0

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How can i unnormalize the forecasted system load outputs in Neural Networks in Matlab
It is recommended to normalize the entire dataset first and then split it for training and testing so that the normalization wou...

3 months ago | 0

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Normalisation of matrices using mapminmax function
As mentioned in the documentation of mapminmax under the Normalize Inputs and Targets Using mapminmax section, "The normalized...

3 months ago | 0

Answered
Combining 5 images from a camera and add them together to yield one image.
You can refer to the documentation of sum function and use the following syntax S = sum(A,dim). frame = rand(1824,2736,1,5); f...

3 months ago | 0

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Answered
How can I run keras models in matlab ?
Import the network into MATLAB using importKerasLayers, then replace any unsupported layers with custom layers. You can refer t...

3 months ago | 0

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Answered
Training Option! How can we use a new defined algorithm (as a training function) to train a Deep Neural Network?!
You can refer to Define Custom Training Loops, Loss Functions, and Networks & Deep Learning Custom Training Loops.

3 months ago | 1

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Answered
not enough input arguments
I have tested your code for the following input: noisy = uint8(randi([0 255],100,100)); and I'm not getting any errors. Also i...

3 months ago | 0

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Bug in index output of max and min on gpuArray
The issue has been reported to the concerned team. The workaround would be to transpose the matrix and reducing along the colum...

3 months ago | 0

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How to design a locally connected layer for use in a convolution neural network??
You can refer to Define Custom Deep Learning Layers & Deep Learning Custom Layers and implement your own custom deep learning la...

3 months ago | 0

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Create an animated free body diagram?
You can refer to the documentation of plot, pause, Specify Axis Limits, hold & figure. The following is the example code based ...

3 months ago | 0

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How DeepLab v3+ is connected with ResNet-18 in matlab?
You can make use of analyzeNetwork function to see and analyze how resnet18 or other networks are being used in the deeplabv3plu...

3 months ago | 0

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DL designer in DL toolbox
As of current release, Deep Network Designer does not support networks with multiple input layers. You can refer to Multiple-Inp...

3 months ago | 0

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Answered
trainNetwork error- categorical responses
You can refer to the docoumenatation of trainNetwork. As per your syntax of trainNetwork: net = trainNetwork(X,Y,layers,options...

3 months ago | 0

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Deep Learning network Train
Make sure that the file 'ScrewQuality9350_net.mat' has the SeriesNetwork or a DAGNetwork object with name "net". It seems tha...

3 months ago | 0

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Answered
How do I animate a 3d plot of a satellite orbit given its' orbital parameters.
You can refer to the documentation of plot3, pause, Specify Axis Limits, hold & figure. The following is the example code based...

3 months ago | 0

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Sum of a function into a new file
In addition to the suggestions in the comments, you can refer to the documentation of sum function.

3 months ago | 0

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Color Code Plotted Data According to Value in Un-Plotted Column
Refer to the documentation of plot & legend. Also the following code may help you (Note that you may have to make changes accor...

4 months ago | 0

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Divide input and target for prediction
You may refer the following: crossvalind, cvpartition & Cross-Validation: Assess and improve predictive performance of models.

4 months ago | 0

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Answered
LSTM forecasting time series
Refer to the documentation of trainNetwork to understand what should be the input and target data format & shape. Specifically:...

4 months ago | 0

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fully connected layer in a CNN
You can use the analyzeNetwork to view the network architecture, shape of layerwise Activations & Learnables etc. Based on the ...

4 months ago | 0

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Answered
How to create large matrix with a pattern of sorts.
Refer to MATLAB Onramp to get started with MATLAB. The following code might help you: s = 64; m = zeros(s,s); for i = 2:64...

4 months ago | 0

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Does train function return neural network with the weights of last epoch or the weights of the model with the smallest loss of all epochs?
You can refer to Early Stopping & Improve Shallow Neural Network Generalization and Avoid Overfitting documentation. According ...

4 months ago | 0

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