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Back propagation NN on a linear system
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Hello, I have a dataset with four input features and their corresponding regression outputs. I want to train a model using back propagation ANN to predict the output values for new input, please how can I do this. One option is to use linear regression, but that does model my data well enough. Another option is to use fitnet function, but I want to actually work with the code and control the parameters like cost function and activation. Please what code can I use to solve this regression problem using back propagation?
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Yash Sharma
on 8 Jul 2024 at 8:08
Hi Stan,
You can create your own custom neural network and can have control over all the training parameters. Take a look at below documentation.
Hope it helps!
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