src/network.c
@@ -65,6 +65,8 @@ return net.learning_rate * pow(net.gamma, batch_num); case POLY: return net.learning_rate * pow(1 - (float)batch_num / net.max_batches, net.power); case RANDOM: return net.learning_rate * pow(rand_uniform(0,1), net.power); case SIG: return net.learning_rate * (1./(1.+exp(net.gamma*(batch_num - net.step)))); default: