Open seanshpark opened 7 years ago
With
alpha_ = 0.90; // momentum factor
eta_ = 0.25; // learning rate
gain_ = 0.50; // gain of sigmoid function
and 20 neurons,
1) 2 / 20 / 2 2) 2 / 10 / 10 / 2 : good 3) 2 / 7 / 7 / 6 / 2 : doesn't seem to learn 4) 2 / 5 / 5 / 5 / 5 / 2 : this too doesn't seem to learn
For a XOR learing system, 2 input 2 output and N(>=1) hidden layers. How does the learing differ by number of layers? How do we measure? Will it be valid?