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how to organize input dimensions for LSTM classification
Hi @Fan, As outlined in the issue statement, difficulties were encountered with the LSTM-based deep learning model training usi...
9 días hace | 0
| aceptada
Linear Regression, line of best fit
Hi @YM, I understand that the goal is to determine the linear regression/line of best fit for a dataset and to find the corre...
9 días hace | 0
Error using "fopen"
Hi @LEONARDO, Based on the code and the error message, it appears that the provided path may be incorrect, or you may not have...
12 días hace | 0
Obtain information after text pattern
Hi @Richard Wood I understand that you need to extract the damping constant values for each material stored in"CrPS4.mat” (lik...
12 días hace | 1
Troubles with Experiment Manager Setup for LSTM regression
Hi @massimo giannini, According to the issue description, you are able to train your model using the“trainnet”function. Howeve...
13 días hace | 0
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Can this code be rearranged to run successfully
Hi @MINATI PATRA Based on the issue description, it appears that the provided example in the documentation is not functioning a...
16 días hace | 0
Different filters for pretrainned network
Hi @Dina, I understand that you want to evaluate existing pre-trained models using images processed with different types of fi...
16 días hace | 0
Making Correlation Plots between variables.
Hi @Bhavick Singh, From what I understand, you are trying to plot the correlation between voltage and current, as well as betw...
17 días hace | 0
[Urgent] Import 3D model and do 4d plotting [Urgent]
Hi @Sohaib ulhaq, It seems you want to display a 3D model of a leg with a colormap to differentiate between soft tissue and ha...
17 días hace | 0
I have to create a nested loop of for statement which goes to the level 51 to solve the equation which is a summation of 51 variables whose value varies from value1 to value 6
Hi Ninad Pimpalkhare, As described, you need to construct a nested loop structure with 51 levels to solve an equation that sums...
17 días hace | 0