Feeds
답변 있음
Does anyone have the source code for the alexnet add-on?
Hi Matthew, Alexnet is fully accessible programmatically via the ‘alexnet’ function. When you call the function, MATLAB load...
Does anyone have the source code for the alexnet add-on?
Hi Matthew, Alexnet is fully accessible programmatically via the ‘alexnet’ function. When you call the function, MATLAB load...
7개월 전 | 0
답변 있음
densenet264 pretrained network loading problem
Hi Asif, The issue you're encountering likely stems from the fact that densenet201 is a built-in pretrained model available ...
densenet264 pretrained network loading problem
Hi Asif, The issue you're encountering likely stems from the fact that densenet201 is a built-in pretrained model available ...
7개월 전 | 0
답변 있음
Genuine and Imposter Scores
Hi Christian, To calculate genuine and imposter score distributions, you typically need to extract feature vectors for each ...
Genuine and Imposter Scores
Hi Christian, To calculate genuine and imposter score distributions, you typically need to extract feature vectors for each ...
7개월 전 | 0
답변 있음
How to remove least significant bits in a pixel.
Hi Niranjan, It is my understanding you want to remove the 3 least significant bits (LSBs) from every pixel in the image. Each ...
How to remove least significant bits in a pixel.
Hi Niranjan, It is my understanding you want to remove the 3 least significant bits (LSBs) from every pixel in the image. Each ...
7개월 전 | 0
답변 있음
Difference between PSNR and SSIM comparison
Hi Muzammil, It is my understanding that you're trying to clearly understand the differences between PSNR, SSIM, and SNR when c...
Difference between PSNR and SSIM comparison
Hi Muzammil, It is my understanding that you're trying to clearly understand the differences between PSNR, SSIM, and SNR when c...
7개월 전 | 1
답변 있음
please need help. Can we use learngd() function to train Deep neural network
Hi Shailaja, The function 'learngd()' implements gradient descent as a learning algorithm, primarily used for training shall...
please need help. Can we use learngd() function to train Deep neural network
Hi Shailaja, The function 'learngd()' implements gradient descent as a learning algorithm, primarily used for training shall...
7개월 전 | 0
답변 있음
deepnets for image localisation and counting
Hi Akhil, For image localization and counting, MATLAB offers several pre-trained deep neural networks. Some of which are: Y...
deepnets for image localisation and counting
Hi Akhil, For image localization and counting, MATLAB offers several pre-trained deep neural networks. Some of which are: Y...
7개월 전 | 0
답변 있음
How to use PCA (Principal component analysis) with SVM for classification in Mathlab?
Hi Huda, When you run “[coeff, score, latent] = pca(X)”, MATLAB performs PCA and returns: coeff: the principal component c...
How to use PCA (Principal component analysis) with SVM for classification in Mathlab?
Hi Huda, When you run “[coeff, score, latent] = pca(X)”, MATLAB performs PCA and returns: coeff: the principal component c...
7개월 전 | 0
답변 있음
How to load two ARFF file in Matlab?
Hi Afef, It is my understanding that you're trying to load two ARFF files ("train.arff" and "test.arff") into MATLAB using t...
How to load two ARFF file in Matlab?
Hi Afef, It is my understanding that you're trying to load two ARFF files ("train.arff" and "test.arff") into MATLAB using t...
7개월 전 | 0
답변 있음
Revert Weight and Set Weight in nntool
Hi Satrio, It is my understanding that you are working with MATLAB’s Neural Network Toolbox and are unsure about the purpose of...
Revert Weight and Set Weight in nntool
Hi Satrio, It is my understanding that you are working with MATLAB’s Neural Network Toolbox and are unsure about the purpose of...
7개월 전 | 0
답변 있음
Explained variance and interactive PCA
Hi Giulia, It is my understanding that you're working with a 129-channel EEG signal in EEGLAB and using ICA with 'interactiv...
Explained variance and interactive PCA
Hi Giulia, It is my understanding that you're working with a 129-channel EEG signal in EEGLAB and using ICA with 'interactiv...
7개월 전 | 0
답변 있음
Feature Reduction using PCA
Hi Hend, It is my understanding that you have extracted a large number of features from your data using a Gabor filter bank, ...
Feature Reduction using PCA
Hi Hend, It is my understanding that you have extracted a large number of features from your data using a Gabor filter bank, ...
7개월 전 | 0
답변 있음
2D wavelet transform of modeshape values of plate structures
Hi Abina, It is my understanding that you have a matrix containing x and y coordinates of a plate structure, along with mode ...
2D wavelet transform of modeshape values of plate structures
Hi Abina, It is my understanding that you have a matrix containing x and y coordinates of a plate structure, along with mode ...
10개월 전 | 0
답변 있음
k medoid with heterogene data( numerik,binar ,nominal)
Hi Peka, It is my understanding that you are trying to apply the k-medoids clustering algorithm to a dataset that contains b...
k medoid with heterogene data( numerik,binar ,nominal)
Hi Peka, It is my understanding that you are trying to apply the k-medoids clustering algorithm to a dataset that contains b...
10개월 전 | 0
답변 있음
Inconsistent forecasts using LSTM deep learning model
Hi Manny, Different predictions from a LSTM model on the same input data across many runs is due to a variety of factors as ...
Inconsistent forecasts using LSTM deep learning model
Hi Manny, Different predictions from a LSTM model on the same input data across many runs is due to a variety of factors as ...
대략 1년 전 | 0
답변 있음
Getting this error" Invalid training data. Sequence responses must have the same sequence length as the corresponding predictors."
Hi Sumana, The error message obtained indicates that the sequence length of your predictors('XTrain') and responses('YTrain'...
Getting this error" Invalid training data. Sequence responses must have the same sequence length as the corresponding predictors."
Hi Sumana, The error message obtained indicates that the sequence length of your predictors('XTrain') and responses('YTrain'...
대략 1년 전 | 0
답변 있음
what is problem in ResNet50 Code, Error: Check for incorrect argument data type or missing argument in call to function 'activations'. line 30
Hi Muhammad, The error “Check for incorrect argument data type or missing argument in call to function activations” you are ...
what is problem in ResNet50 Code, Error: Check for incorrect argument data type or missing argument in call to function 'activations'. line 30
Hi Muhammad, The error “Check for incorrect argument data type or missing argument in call to function activations” you are ...
대략 1년 전 | 0
답변 있음
How to increase feed-forward NN training performance?
Hi Osman, When training a neural network using MATLAB's ‘trainbr’ (Bayesian Regularization Backpropagation) function, severa...
How to increase feed-forward NN training performance?
Hi Osman, When training a neural network using MATLAB's ‘trainbr’ (Bayesian Regularization Backpropagation) function, severa...
대략 1년 전 | 0
답변 있음
Invalid training data. Predictors must be a numeric array, a datastore, or a table. For networks with sequence input, predictors can also be a cell array of sequences.
Hi Neeta, The error message you are getting indicates training data provided to the ‘trainNetwork’ function is not in the ex...
Invalid training data. Predictors must be a numeric array, a datastore, or a table. For networks with sequence input, predictors can also be a cell array of sequences.
Hi Neeta, The error message you are getting indicates training data provided to the ‘trainNetwork’ function is not in the ex...
대략 1년 전 | 0
답변 있음
How to change size of input layer from 224x224x3 to 224x224x1 in Pretrained GoogLeNet convolutional neural network?
Hi Jahandad, To adapt a pre-trained model like GoogleNet or AlexNet for 2D (224*224*1) images instead of 3D images (224*224*...
How to change size of input layer from 224x224x3 to 224x224x1 in Pretrained GoogLeNet convolutional neural network?
Hi Jahandad, To adapt a pre-trained model like GoogleNet or AlexNet for 2D (224*224*1) images instead of 3D images (224*224*...
대략 1년 전 | 0
답변 있음
Estimating LASSO regression without intercept
Hi Vincent, To impose the constraint "intercept=0" when estimating LASSO regression in MATLAB, you can specify the 'Intercep...
Estimating LASSO regression without intercept
Hi Vincent, To impose the constraint "intercept=0" when estimating LASSO regression in MATLAB, you can specify the 'Intercep...
대략 1년 전 | 0
답변 있음
bayesian additive regression trees
Hi Mohammadfarid, You can implement BART in MATLAB by following the general algorithm described in the BART literature. To i...
bayesian additive regression trees
Hi Mohammadfarid, You can implement BART in MATLAB by following the general algorithm described in the BART literature. To i...
대략 1년 전 | 1
답변 있음
Default mini-batch size in the Fitrnet function
Hi Karthik, The ‘fitrnet’ function in MATLAB's Statistics and Machine Learning Toolbox is used for training neural network r...
Default mini-batch size in the Fitrnet function
Hi Karthik, The ‘fitrnet’ function in MATLAB's Statistics and Machine Learning Toolbox is used for training neural network r...
대략 1년 전 | 0
답변 있음
Hi, I have the acceleration data, how to get plot of ensemble autocorrelation??
Hi Rajkumar, To plot the ensemble autocorrelation of acceleration data in MATLAB, refer the following steps: Load and prepa...
Hi, I have the acceleration data, how to get plot of ensemble autocorrelation??
Hi Rajkumar, To plot the ensemble autocorrelation of acceleration data in MATLAB, refer the following steps: Load and prepa...
대략 1년 전 | 0
답변 있음
HelloI want to implement hierarchical clustering using basic code
Hi Ali, To implement hierarchical clustering without using inbuild MATLAB functions, you can perform the following: Prepare...
HelloI want to implement hierarchical clustering using basic code
Hi Ali, To implement hierarchical clustering without using inbuild MATLAB functions, you can perform the following: Prepare...
대략 1년 전 | 0
답변 있음
How can I use fitnet coefficients of my older neural network in training a new one?
Hi Vahagn, To use the weights and biases from your first trained neural network to initialize a new network with additional ...
How can I use fitnet coefficients of my older neural network in training a new one?
Hi Vahagn, To use the weights and biases from your first trained neural network to initialize a new network with additional ...
대략 1년 전 | 0
답변 있음
how to find the filter size, kernels, stride and padding for the next convolutional layer in a neural network
Hi Aiman, Designing a neural network architecture like AlexNet involves a mix of empirical experimentation, domain knowledge...
how to find the filter size, kernels, stride and padding for the next convolutional layer in a neural network
Hi Aiman, Designing a neural network architecture like AlexNet involves a mix of empirical experimentation, domain knowledge...
대략 1년 전 | 0
답변 있음
how to get frequency bands of eeg?
Hi Vaggelis, To extract specific frequency bands like the mu and beta bands from the EEG signals, you can decompose the give...
how to get frequency bands of eeg?
Hi Vaggelis, To extract specific frequency bands like the mu and beta bands from the EEG signals, you can decompose the give...
대략 1년 전 | 0
답변 있음
about using HYSDEL toolbox
Hi Mohamed, The error obtained suggests that the ‘hysdel3’ function is not able to find the file during the compilation proc...
about using HYSDEL toolbox
Hi Mohamed, The error obtained suggests that the ‘hysdel3’ function is not able to find the file during the compilation proc...
대략 1년 전 | 0
답변 있음
Predicting air moisture content at high altitude
Hi Ennes, To model the humidifier for your PEM fuel cell at high altitude, you need to determine the moisture content in the...
Predicting air moisture content at high altitude
Hi Ennes, To model the humidifier for your PEM fuel cell at high altitude, you need to determine the moisture content in the...
대략 1년 전 | 0
