keras中的这个自定义指标函数是什么意思？
What does this custom metric function in keras mean?
而且我找不到行号是什么。 116 是什么意思？
metrics={'capsnet': 'accuracy'})
有人可以解释一下这一行吗？因为我在 keras documentation
中找不到任何此类参考
提前致谢！
文档
来自 Keras 模型函数 API：https://keras.io/models/model/
参见方法 > 编译 > 度量
metrics: List of metrics to be evaluated by the model
during training and testing.
Typically you will use metrics=['accuracy'].
To specify different metrics for different outputs of a
multi-output model, you could also pass a dictionary,
such as metrics={'output_a': 'accuracy'}.
（来源：https://github.com/keras-team/keras/blob/master/keras/models.py#L786-L791）
它有什么作用？
该行输出名为capsnet的层（which can be found within the same file) with accuracy metric. The rest is just the same as the document you provided。
.... (The above omitted)
____________________________________________________________________________________________________
mask_1 (Mask) (None, 160) 0 digitcaps[0][0]
input_2[0][0]
____________________________________________________________________________________________________
capsnet (Length) (None, 10) 0 digitcaps[0][0]
____________________________________________________________________________________________________
decoder (Sequential) (None, 28, 28, 1) 1411344 mask_1[0][0]
====================================================================================================
Total params: 8,215,568
Trainable params: 8,215,568
Non-trainable params: 0
____________________________________________________________________________________________________
而且我找不到行号是什么。 116 是什么意思？
metrics={'capsnet': 'accuracy'})
有人可以解释一下这一行吗？因为我在 keras documentation
中找不到任何此类参考提前致谢！
文档
来自 Keras 模型函数 API：https://keras.io/models/model/
参见方法 > 编译 > 度量
metrics: List of metrics to be evaluated by the model during training and testing. Typically you will use
metrics=['accuracy']. To specify different metrics for different outputs of a multi-output model, you could also pass a dictionary, such asmetrics={'output_a': 'accuracy'}.
（来源：https://github.com/keras-team/keras/blob/master/keras/models.py#L786-L791）
它有什么作用？
该行输出名为capsnet的层（which can be found within the same file) with accuracy metric. The rest is just the same as the document you provided。
.... (The above omitted)
____________________________________________________________________________________________________
mask_1 (Mask) (None, 160) 0 digitcaps[0][0]
input_2[0][0]
____________________________________________________________________________________________________
capsnet (Length) (None, 10) 0 digitcaps[0][0]
____________________________________________________________________________________________________
decoder (Sequential) (None, 28, 28, 1) 1411344 mask_1[0][0]
====================================================================================================
Total params: 8,215,568
Trainable params: 8,215,568
Non-trainable params: 0
____________________________________________________________________________________________________