[英]CRF in tensorflow keras?
I know that Keras-contrib is deprecated and has been migrated to tensorflow/addons, but I don't understand how can I add a CRF layer using this new library.我知道 Keras-contrib 已被弃用并已迁移到 tensorflow/addons,但我不明白如何使用这个新库添加 CRF 层。
Does anyone know which tensorflow/addons feature is the equivalent to the keras-contrib CRF layer?有谁知道哪个 tensorflow/addons 功能相当于 keras-contrib CRF 层?
You can use TensorFlow Addons( tfa
).您可以使用 TensorFlow 插件( tfa
)。 In your case use tfa.layers.CRF
.在您的情况下使用tfa.layers.CRF
。
To use the above, first you have to install the latest version as shown below要使用上述内容,首先您必须安装最新版本,如下所示
pip install tensorflow-addons
You can use addons as shown below您可以使用插件,如下所示
import tensorflow as tf
import tensorflow_addons as tfa
from tensorflow_addons.layers import CRF
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