Tensorflow自定义损失显示不正确的详细信息

时间:2020-02-01 09:56:04

标签: tensorflow deep-learning neural-network tensorflow2.0 tf.keras

我正在使用1 - dice_coefficient作为损失指标,在使用tensorflow 2.0进行训练时,接下来的冗长内容使我感到荒谬的损失,目前我在每个conv2d层都引入了活动调节器(l2正则化)。

损失计算正确,为什么冗长不正确?

Epoch 1/10

 loss:  0.6226288  dice:  0.37737122
    1/32057 [..............................] - ETA: 164:21:12 - loss: 58262.4844 - dice_coef: 0.3774
 loss:  0.66217625  dice:  0.33782378
    2/32057 [..............................] - ETA: 92:42:14 - loss: 47621.1680 - dice_coef: 0.3576 
 loss:  0.7298874  dice:  0.27011257
    3/32057 [..............................] - ETA: 68:58:37 - loss: 41726.3203 - dice_coef: 0.3284
 loss:  0.91065186  dice:  0.089348145
    4/32057 [..............................] - ETA: 57:40:56 - loss: 36527.0034 - dice_coef: 0.2687
 loss:  0.6360147  dice:  0.36398527

0 个答案:

没有答案