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1 vote
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Is this a reasonable way to transform simple MSE loss function to weighted MSE for neural networks?

The idea is tested on a dataset with a clear outlier (see picture below) ...
Ruth Lazkoz's user avatar
0 votes
1 answer
114 views

Transform function {a,b} ->{x,y} ; how to?

I have a 2D list of values that I want to transform/calibrate to another 2D list. I thought of using a predict function but I couldn’t get it to output 2 values. —...
CuriousDudeFromEgypt's user avatar
2 votes
1 answer
100 views

Output of the trained neural network for a set of inputs

Sorry if this was too trivial but I want to get the output of the neural network I trained for the specific inputs that I feed. The notation I often saw was of TrainedNet[inp] kind. But when I use ...
Gizem Y.'s user avatar
1 vote
1 answer
284 views

Need advice for approach for multivariate regression/prediction using Deep Networks

I am trying to build predictive models for 2 outputs given approximately 10 input variables. I understand that I would first look at the simplest model, such as a multivariate linear regression, ...
Corse's user avatar
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