多gpu并行训练问题 about garbage_classify HOT 2 OPEN

txt：
bacth 16， 4块gpu并行训练

1055/1061 [============================>.] - ETA: 5s - loss: 3.5930 - acc: 0.0740
1056/1061 [============================>.] - ETA: 4s - loss: 3.5926 - acc: 0.0743
1057/1061 [============================>.] - ETA: 3s - loss: 3.5921 - acc: 0.0743
1058/1061 [============================>.] - ETA: 2s - loss: 3.5919 - acc: 0.0744
1059/1061 [============================>.] - ETA: 1s - loss: 3.5917 - acc: 0.0745
1060/1061 [============================>.] - ETA: 0s - loss: 3.5915 - acc: 0.0746
1061/1061 [==============================] - 919s 867ms/step - loss: 3.5911 - acc: 0.0748 - val_loss: 1.1921e-07 - val_acc: 0.0207
save weights file ./model_snapshots_multi/weights_000_0.0207.h5
Epoch 2/60

1/1061 [..............................] - ETA: 12:46 - loss: 3.2449 - acc: 0.1875
2/1061 [..............................] - ETA: 12:55 - loss: 3.3741 - acc: 0.1250
3/1061 [..............................] - ETA: 13:06 - loss: 3.2832 - acc: 0.1667
4/1061 [..............................] - ETA: 13:00 - loss: 3.2520 - acc: 0.1719
5/1061 [..............................] - ETA: 13:00 - loss: 3.2117 - acc: 0.1875
6/1061 [..............................] - ETA: 12:26 - loss: 3.3068 - acc: 0.1562
7/1061 [..............................] - ETA: 12:30 - loss: 2.8344 - acc: 0.1339
8/1061 [..............................] - ETA: 12:33 - loss: 2.4801 - acc: 0.1172
9/1061 [..............................] - ETA: 12:35 - loss: 2.2046 - acc: 0.1181
10/1061 [..............................] - ETA: 12:33 - loss: 1.9841 - acc: 0.1062
11/1061 [..............................] - ETA: 12:34 - loss: 1.8037 - acc: 0.0966
12/1061 [..............................] - ETA: 12:36 - loss: 1.6534 - acc: 0.0938
13/1061 [..............................] - ETA: 12:38 - loss: 1.5262 - acc: 0.0865
14/1061 [..............................] - ETA: 12:39 - loss: 1.4172 - acc: 0.0804
15/1061 [..............................] - ETA: 12:38 - loss: 1.3227 - acc: 0.0750
16/1061 [..............................] - ETA: 12:38 - loss: 1.2401 - acc: 0.0703
17/1061 [..............................] - ETA: 12:38 - loss: 1.1671 - acc: 0.0662
18/1061 [..............................] - ETA: 12:38 - loss: 1.1023 - acc: 0.0660
19/1061 [..............................] - ETA: 12:38 - loss: 1.0443 - acc: 0.0625
20/1061 [..............................] - ETA: 12:38 - loss: 0.9921 - acc: 0.0625
21/1061 [..............................] - ETA: 12:38 - loss: 0.9448 - acc: 0.0595

from garbage_classify.

@dodgaga 你好，你是不是没有用预训练参数呢。如果用了预训练参数第一代准确率也会很高的。建议使用预训练参数

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