Enter the number of Layers in Neural Network: 4
The number of neurons in first layer are 2 (i.e.the input size)
Enter number of neurons in layer[2]: 4
Enter number of neurons in layer[3]: 4
The number of neurons in last layer is 1 (i.e output size)
Created Layer: 1
Number of Neurons in Layer 1: 2
Neuron 1 in Layer 1 created
Neuron 2 in Layer 1 created
Created Layer: 2
Number of Neurons in Layer 2: 4
Neuron 1 in Layer 2 created
Neuron 2 in Layer 2 created
Neuron 3 in Layer 2 created
Neuron 4 in Layer 2 created
Created Layer: 3
Number of Neurons in Layer 3: 4
Neuron 1 in Layer 3 created
Neuron 2 in Layer 3 created
Neuron 3 in Layer 3 created
Neuron 4 in Layer 3 created
Created Layer: 4
Number of Neurons in Layer 4: 1
Neuron 1 in Layer 4 created
Initializing weights...
0:w[0][0]: 0.840188
1:w[0][0]: 0.394383
2:w[0][0]: 0.783099
3:w[0][0]: 0.798440
0:w[0][1]: 0.911647
1:w[0][1]: 0.197551
2:w[0][1]: 0.335223
3:w[0][1]: 0.768230
0:w[1][0]: 0.277775
1:w[1][0]: 0.553970
2:w[1][0]: 0.477397
3:w[1][0]: 0.628871
0:w[1][1]: 0.513401
1:w[1][1]: 0.952230
2:w[1][1]: 0.916195
3:w[1][1]: 0.635712
0:w[1][2]: 0.141603
1:w[1][2]: 0.606969
2:w[1][2]: 0.016301
3:w[1][2]: 0.242887
0:w[1][3]: 0.804177
1:w[1][3]: 0.156679
2:w[1][3]: 0.400944
3:w[1][3]: 0.129790
0:w[2][0]: 0.998924
0:w[2][1]: 0.512932
0:w[2][2]: 0.612640
0:w[2][3]: 0.637552
Enter the learning rate (Usually 0.15): 0.15
Enter the number of training examples: 4
Enter the Inputs for training example[0]: 0 0
Enter the Inputs for training example[1]: 0 1
Enter the Inputs for training example[2]: 1 0
Enter the Inputs for training example[3]: 1 1
Enter the Desired Outputs (Labels) for training example[0]: 0
Enter the Desired Outputs (Labels) for training example[1]: 1
Enter the Desired Outputs (Labels) for training example[2]: 1
Enter the Desired Outputs (Labels) for training example[3]: 1
{
In this space, the model will train and will
simultaneously show what are the correspoding outputs
when the model is being trained
}
Enter input to test: (press ctrl+c to exit) 0 0
Output: 0
Enter input to test: (press ctrl+c to exit) 0 1
Output: 1
Enter input to test: (press ctrl+c to exit) 1 0
Output: 1
Enter input to test: (press ctrl+c to exit) 1 1
Output: 1