-
Notifications
You must be signed in to change notification settings - Fork 0
/
result.txt
43 lines (37 loc) · 1.42 KB
/
result.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
densenet
1 layer
dropout0.2
Epoch 10/10
53879/53879 [==============================] - 12s - loss: 1.0084 - acc: 0.7137 - top_3_categorical_accuracy: 0.8860 - val_loss: 0.9352 - val_acc: 0.7215 - val_top_3_categorical_accuracy: 0.9038
densenet
1 layer
dropout0.2
bs 200
Epoch 10/10
Epoch 10/10
53879/53879 [==============================] - 2s - loss: 1.0105 - acc: 0.7107 - top_3_categorical_accuracy: 0.8819 - val_loss: 0.8823 - val_acc: 0.7344 - val_top_3_categorical_accuracy: 0.9088
merge
1 ly
dr 0.2
bs 200
Epoch 20
53879/53879 [==============================] - 3s - loss: 0.6988 - acc: 0.7880 - top_3_categorical_accuracy: 0.9328 - val_loss: 0.9651 - val_acc: 0.7374 - val_top_3_categorical_accuracy: 0.9044
merge
1 ly
dr 0.5
bs 200
Epoch 20
53879/53879 [==============================] - 3s - loss: 0.9558 - acc: 0.7232 - top_3_categorical_accuracy: 0.8923 - val_loss: 0.8808 - val_acc: 0.7361 - val_top_3_categorical_accuracy: 0.9110
merge
1 ly
dr 0.6
bs 200
Epoch 20/20
53879/53879 [==============================] - 3s - loss: 1.1540 - acc: 0.6752 - top_3_categorical_accuracy: 0.8616 - val_loss: 0.8870 - val_acc: 0.7383 - val_top_3_categorical_accuracy: 0.9076
Train on 53879 samples, validate on 7120 samples
restnet
1 ly
dr 0.2
bs 200
Epoch 20
53879/53879 [==============================] - 2s - loss: 1.0358 - acc: 0.7018 - top_3_categorical_accuracy: 0.8775 - val_loss: 1.0257 - val_acc: 0.6949 - val_top_3_categorical_accuracy: 0.8823