train.py 训练模型
test.py 测试模型的准确率
train_v*.py 和 test_v*.py 试验版本
train_v1.py 和 test_v1.py 表示 两个生成器版本
generator_src 为 MNIST src域 28 * 28 输入样本的生成器
generator_tgt 为 USPS tat域压缩后 18 * 18 输入样本的生成器
train.py :
红色: generator loss
蓝色: discriminator loss
绿色: classfier loss
test.py:
=== Evaluating models ===
>>> on source domain <<<
Avg Loss = 0.06447, Avg Accuracy = 98.18833%
>>> on target domain <<<
Avg Loss = 0.43089, Avg Accuracy = 89.43264%
train_v1.py :
红色: generator_src loss
蓝色: discriminator loss
绿色: classfier loss
test_v1.py
=== Evaluating models ===
>>> on source domain <<<
Avg Loss = 0.03399, Avg Accuracy = 99.19833%
>>> on target domain <<<
Avg Loss = 9.57380, Avg Accuracy = 8.56413%