Question

我的keras模型设置如下（TF 1.2.1）：

import tensorflow.contrib.keras as keras

model = keras.models.Sequential()

...

model.compile(loss=keras.losses.mean_squared_error,
              optimizer=keras.optimizers.Adam(lr=1e-4))

model.summary()


Layer (type)                 Output Shape              Param #   
=================================================================
conv2d_1 (Conv2D)            (None, 29, 29, 64)        6336      
_________________________________________________________________
conv2d_2 (Conv2D)            (None, 13, 13, 128)       204928    
_________________________________________________________________
conv2d_3 (Conv2D)            (None, 11, 11, 256)       295168    
_________________________________________________________________
conv2d_4 (Conv2D)            (None, 5, 5, 256)         590080    
_________________________________________________________________
flatten_1 (Flatten)          (None, 6400)              0         
_________________________________________________________________
dense_1 (Dense)              (None, 2)                 12802     
=================================================================
Total params: 1,109,314
Trainable params: 1,109,314
Non-trainable params: 0

输出是一个简单的浮点向量，它可以根据需要收敛。损失是均方误差。示例输出：

 18/100 [====>.........................] - ETA: 30s - loss: 31.5118
 19/100 [====>.........................] - ETA: 29s - loss: 30.7577
 20/100 [=====>........................] - ETA: 29s - loss: 29.7815
 21/100 [=====>........................] - ETA: 28s - loss: 29.0535
 22/100 [=====>........................] - ETA: 28s - loss: 28.1963
 23/100 [=====>........................] - ETA: 28s - loss: 27.3314
 24/100 [======>.......................] - ETA: 28s - loss: 26.7219
 25/100 [======>.......................] - ETA: 28s - loss: 25.9702
 26/100 [======>.......................] - ETA: 27s - loss: 25.4181
 27/100 [=======>......................] - ETA: 27s - loss: 25.0638
 28/100 [=======>......................] - ETA: 27s - loss: 24.6081
 29/100 [=======>......................] - ETA: 26s - loss: 24.0928

损失似乎稳步下降。但是，当我看到真正的损失（keras.callbacks.LambdaCallback@on_batch_end）时，它并不那么顺利：

我试图深入了解Keras源代码，但无法理解幕后发生的事情。 Keras如何过滤实际损失？我可以在源代码中找到这个吗？

谢谢！

Answer 1

因此，在progbar中实际显示的是在打印时在给定时期内执行的所有批次的丢失的平均值。（2个批次后的前2个，3个时期后的前3个等等）。所以 - 您可以通过对第一个n-th损失值进行均值来获得n时代之后打印的值。您可以在Progbar定义中了解here。

Keras训练环路如何过滤损耗值？

1 个答案: