Answered
How to calculate root mean square error for multi-output data for neural network?
The following MATLAB Answer might help you: How to calculate the MSE for multi-output neural network?

6 years ago | 0

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Answered
Why there is the need to train CNN and LSTM separately before combining them?
Fine-tuning a network built from pretrained network is usually much faster and easier than training a network with randomly init...

6 years ago | 0

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CNN Regression Image to Vector
Refer to Image Regression using .mat Files and a datastore MATLAB Answer and following other links: Is there a regression laye...

6 years ago | 0

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Answered
Remove Empty Values from a nx1 Vector of doubles
An array can't have an empty value. The whole array itself should be empty. If you are having any NaN, inf then find them using...

6 years ago | 0

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[c] = confusion(t,y) and not classified observations
The fitnet function is used for regression. The confusion matrix is used for classification problems. Function fitting is the p...

6 years ago | 0

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How to get percentage of training loss?
While using the trainNetwork function, mention the info output argumetn along with the net as follows: [net,info] = trainNetwor...

6 years ago | 0

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Answered
How to split a trained network into two networks?
As you already mentioned, for the enoder part you can make use of the activations function on a layer to collect the output. W....

6 years ago | 0

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plot confusion for backpropagation output
The error is caused due to the input argument "net.myNet" in the classify function above. The following are the errors in the a...

6 years ago | 0

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How to adjust figure sizes and export as a png/jpg in Matlab Online?
Install MATLAB Drive Connector. Refer to MATLAB Drive, MATLAB Drive Documentation & How can I download a zip file from Matlab on...

6 years ago | 0

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¿Cómo podría instalar nuevos Toolbox?
Refer to Get and Manage Add-Ons

6 years ago | 1

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Answered
Shallow Neural Network with Stochastic Gradient Descent
The following command lists all the training functions available: help nntrain From the output I can see that stochastic gradi...

6 years ago | 1

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Answered
Sequence to Sequence Classification with Deep Learning CNN+LSTM
I think you can use the convolution2Dlayer with appropriate input arguments but make sure you use the sequenceFoldingLayer, sequ...

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Answered
I would lie to install TI embedded coder. Do the libraries come separate without the installation process / exe?
A support package is an add-on that enables you to use a MathWorks® product with specific third-party hardware and software. You...

6 years ago | 0

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YOLO V2 with greyscale FITS images (telling me it's expecting rgb)
As per the documentation of yolov2layers, the Input Argument imageSize should be specified as one of these values: Two-element ...

6 years ago | 0

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How to use semilogx after fit
The output Argument f1 from the function fit is a a cfit (for curves) or sfit (for surfaces) object. In order to plot f1 you ca...

6 years ago | 0

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Prediction on a pre-trained neural network
Using weights of different network to the current network: for 2 networks net1 & net2, copy the layers to some variable layer...

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Answered
CNN code and Sequence Input Error
As per my knowledge you have to use a sequence folding layer to perform convolution operations on sequences. Refer to sequenceF...

6 years ago | 0

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How to constrain Neural Network output weights to fixed values
Refer to Weight and Bias Values, Input Weights, Layer Weights & net.layerWeights{i,j}.learn. You can access the layer weights a...

6 years ago | 1

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object detection & Point tracking from video
You may refer to the following: vision.PointTracker Tracking and Motion Estimation object point tracking video

6 years ago | 1

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Deep Learning (LSTM)
Here are some answers you can refer to: How do I save the training progress images generated in "trainNetwork" when 'Plots' is ...

6 years ago | 0

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Training Unet 3D on Cloud Server
Refer to MATLAB Online & it's Specifications and Limitations

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Transfer Learning on Unet: Image Input Size not matching for layers
Based on the information on imageSize, numClasses & 'EncoderDepth', for the Net2 in your question add the value 'same' for the '...

6 years ago | 1

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Help regarding the transposed convolution layer
An upsampling layer uses a defined/pre-defined interpolation method to upsample the input but a transposed convolution layer lea...

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What layers to use for data classifcation?
Refer to Deep Learning Toolbox — Examples and Deep Learning Toolbox to get started. You can use an imageInputLayer or an sequen...

6 years ago | 0

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partial face recognition using CNN-alexnet
Make sure that all the images have the same number of channels. Make use of the following: im = imageDatastore('images','Inclu...

6 years ago | 0

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Feedforward Net convert from Python
You can train the above network in keras framework and import it to matlab using the importKerasLayers, importKerasNetwork funct...

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how to calculate MAE in neural network toolbox?
Mention the nerual network object property perfromFcn as 'mae'. For list of available performance functions, type help nnperfor...

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Neural Network Regression Problem with multiple Outputs
The last two layers of your network architecture must be a fullyConnectedLayer with outputSize 10 followed by regressionLayer l...

6 years ago | 1

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Neural network fitting for PWM synthesis
According to your code: net = network( ... 1, ... % numInputs, number of inputs, 2, ... % numLayers, number of layers [1; 0]...

6 years ago | 0

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Answered
Avoiding overfitting using unetLayers
The following are some suggestions: Since there is a slight class imbalance, try the following: Balance Classes Using Class Wei...

6 years ago | 0

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