How can I set w. add instead of random generated I need to add my own weight input.

Question

void AArtificialNS::Initialize(int inputs, int outputs, TArray<int> hiddenLayers, float _initialLearningRate, float _learningRateDecay)
{
    // Set dimensions
    nInputs = inputs;
    nOutputs = outputs;
    nHiddenLayers = hiddenLayers;
    TArray<int> dimensions;
    dimensions.Add(nInputs);
    dimensions.Append(nHiddenLayers);
    dimensions.Add(nOutputs);
    // Initialize weights
    weights.Empty();

    for (int l = 1; l < dimensions.Num(); l++)
    {
        TArray<TArray<float>> layer; // The weights for the current layer
        for (int j = 0; j < dimensions[l]; j++)
        {
            TArray<float> w; // The weights for the current unit

            for (int i = 0; i < dimensions[l - 1] + 1; i++) // +1: include the weight for the bias
            {

                w.Add(FMath::RandRange(-1.0f, 1.0f));

            }
            layer.Add(w);

        }
 

Answer 1

If I understand you right and you want to set the weights of this Neural Network then you have to add them as a Parameter and instead of setting weights to empty you have to set them on your Parameter...
Here you can see my Neural Network too (not including weight setting to inputs)
https://code.sololearn.com/clqW42eJH17t/?ref=app