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Inception v3 网络的标签平滑

[英]label smoothing for inception v3 network

In inception v3 paper they discussed about label smoothing but in (keras code) here there is nothing mention about label smoothing.inception v3论文中,他们讨论了label smoothing但在(keras 代码)中, 这里没有提及标签平滑。 How to write code for label smoothing for inception v3 network.如何为 inception v3 网络编写标签平滑代码。 It is suggested that it should be included in loss function.建议将其包含在损失函数中。 i am using categorical crossentropy loss function.我正在使用categorical crossentropy损失函数。 So how to make custom categorical crossentropy for label smoothing.那么如何为标签平滑制作自定义categorical crossentropy

You can pass a label_smoothing parameter to the function CategoricalCrossentropy for label smoothing.您可以将label_smoothing参数传递给函数CategoricalCrossentropy以进行标签平滑。

import tensorflow as tf

# when compiling the model
model.compile('sgd', loss=tf.keras.losses.CategoricalCrossentropy(label_smoothing=0.1))

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