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Custom filedatastore for deep learning
Hi In this case, you can create a custom ReadFcn while creating a file datastore. For more information, you can refer this docu...

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balancing chemical equation using linear algebra in matlab
Hi One of the possible approach is to find the simultaneous equations of coefficients of the chemical equationa nd solve those ...

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Deep Learning : Network output a flattened image (help with theory and ideas)
Hi It seems you are perfroming image regression. You may try with convolution autoencoder based networks like SegNet or any ot...

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Custom use of Softmax activation function in LSTM MAtlab for Solar forecasting
Hi Softmax layer bounds the output between [0,1] and usually it is used while training a classification network. In your case, ...

oltre 5 anni fa | 0

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Pixel label image has scalar pixel label IDs instead of RGB-triplet pixel label IDs
Hi The labeled images have label ID (for Eg: 1,2,3 etc. upto number of classes). So it look black as label ID value is small. T...

oltre 5 anni fa | 0

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Error with the function 'trainNetwork'. Error: 'Invalid training data. Responses must be a vector of categorical responses, or a cell array of categorical response sequences.' Line 170.
Hi I assume the first error is resolved by Walter comment. It seems the size of 'labels_train' is 1x500 and 'x_train' is 3x500...

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color detection with convolutional network
Hi In this case, you can consider it a image classification task where output is the color category.You can refer to this docu...

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Query regarding using image3Dinputlayer
Hi To train a CNN, the input size needs to be same. The possible workaround in your case can be, try to append a matrix of zero...

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Using DeepLearning Toolbox to approximate function - possible?
Hi If the input output relation is known, then it straight forward to use that relation and estimate the result. In your case, ...

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1D CNN/ DNN for regression
Hi You are adding 9 different noise in input and reconstructing the original input. Still it is unclear about the noise additi...

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How to count the objects after implementing Semantic segmentation ?
Hi You can find the binary image of a class, which consists of background pixels and the class pixels. After that you can use r...

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Neural network Nonlinear regression
Hi By looking at your input output size, I am assuming you are estimating 99 dimensional output from 4 dimensional input. You c...

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Crop resulting image in Cascade object Detector
Hi The detector is returning the coordinates of the bounding box which is present in the image. It may be in the format of (x,y...

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How to deal with inputs of different sizes for a deep learning model like 3D U-Net and V-Net?
Hi Input size of a CNN is required to be same because the network architecture depends upon the dimension of input. As your dat...

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Summing Elementwise Values in a Vector
Hi You can refer the below code which can be used to find the sum of the elements which you are doing. Hope it will help! func...

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How to visualize the predicted values of segmentation from softmax output?
Hi The softmax layer gives the probability of the predicted class. To get the segmented result from that, you can put the prob...

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Get input/output gradient of neural network
Hi In general, in any neural network, the network tries to learn the weights which can reduce the cost/ loss function. The grad...

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How to generate the convolution density and integrate it on [a,b] fastly and precisely?
Hi You can use 'conv' function to perform the convolution of the CDF and 'integral' function to perform integration. For more i...

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Is there any simulink block model for ball bearing?
Hi There is a similar question answered here, hope it will help.

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Create Graphics with Matlab
Hi It seems you want to plot the multiple function in a single figure. You can use the 'plot' function to plot it. For more in...

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Convolution neural network equations
Hi As you know about the feedforward and backpropagation process, for feedforward network we need to create the network archite...

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Extracting network from a 3D geometry
Hi You can do this by using thresholding as suggested. For example, consider the line of code: a=imread('image.png'); gray=r...

oltre 5 anni fa | 1

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How Can I combine HOG descriptors as input and CNN for Classification as output
Hi It seems you want to classify the image based on HOG features. You can do by storing the features in an array and pass it to...

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Matrix Dimension must agree - Vectorization
Hi It seems you want to apply a function on each element of an array without applying for loop. In this case, create that funct...

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How to Calculate White/Black Ratio within a border of an image
Hi You can find the ratio of black to white part by removing the top and bottom black pixels into calculation. After removing t...

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How to know the GPU memory needed when training a detector network like faster R-CNN?
Hi I think 6GB GPU is enough for your code. Check if the code is running on CPU/ GPU. To run the code on GPU, set ExecutionEnvi...

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Checkpoint not working with batch normalization
Hi The possible workaround of this problem is to save the weights of the network or the complete workspace after completion of ...

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How can I turn off the activation of a single unit in deep neural networks?
Hi You can create a custom activation function in MATLAB and can keep the particular unit as same and for the rest of the nodes...

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Further documentation for regionprops
Hi The centroid coordinate is the mean of the points coordinates (x and y coordinate values) of each connected component.

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Empty sym: 0-by-1
Hi The function solve is the symbolic solver. You can use vpasolve function to find the solution. For example, for your case: ...

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