[SOLVED] Something is wrong my simple neural network project

Question

I need some help, with my code project, i write a simple neural network, with 1 layer, and something is wrong, i hope someone can help me in this problem
https://code.sololearn.com/cW4394FlrBPQ/?ref=app

Answer 1

I think you misunderstood what the activation function is. The activation function has nothing to do in the dataset, it belongs to the neuron and never change. In your case your activation function is this part:
datas[i][2] = dstas[i][0]<0?-1:1;
Which is an "step" function. Check this link https://es.m.wikipedia.org/wiki/Funci%C3%B3n_de_activaci%C3%B3n

Answer 2

Hello. What are exactly the output values you expect with given inputs?

Answer 3

Benjamin Alejandro Luna
Thank you very much,
I really misunderstood the functionality of the activating function, thanks to you I understood better a small part of neural networks, and as the saying goes we learn from our mistakes, thank you for your help!

Answer 4

Benjamin Alejandro Luna
In this program is simple, in
the method the array[i][2] item is the target value, this is the expect value it is auto generate
If x < 0 the output is -1 else output is 1
Oh wait the problem is in the activation function? Which is return x value for y?
So the expect value is not just -1 if x<0, otherwise if x<y expect value is -1 else 1?😅
//Activation function
public static float actFunc(float x){
return x;
}
//Generate dataset function
public static float[][] genDataSet(int num){
Random r = new Random();
float datas[][] = new float[num][3];
for(int i =0;i<num;i++){
datas[i][0] = (r.nextFloat()*2)-1;
datas[i][1] = actFunc(datas[i][0]);
datas[i][2] = datas[i][0]<0?-1:1;
}
return datas;
}