您可以简单地设计一个自定义callback，以更改stddev某个时期的训练前的习惯。
参考：
https://www.tensorflow.org/api_docs/python/tf/keras/layers/GaussianNoise
https://www.tensorflow.org/guide/keras/custom_callback
from tensorflow.keras.layers import Input, Dense, Add, Activation
from tensorflow.keras.models import Model
import tensorflow as tf
import numpy as np
import random
from tensorflow.python.keras.layers import Input, GaussianNoise, BatchNormalization
inputs = Input(shape=100)
bn0 = BatchNormalization(axis=1, scale=True)(inputs)
g0 = GaussianNoise(0.5)(bn0)
d0 = Dense(10)(g0)
model = Model(inputs, d0)
model.compile('adam', 'mse')
model.summary()
class MyCustomCallback(tf.keras.callbacks.Callback):
def on_epoch_begin(self, epoch, logs=None):
self.model.layers[2].stddev = random.uniform(0, 1)
print('updating sttdev in training')
print(self.model.layers[2].stddev)
X_train = np.zeros((10,100))
y_train = np.zeros((10,10))
noise_change = MyCustomCallback()
model.fit(X_train,
y_train,
batch_size=32,
epochs=5,
callbacks = [noise_change])
Model: "model_5"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
input_6 (InputLayer) [(None, 100)] 0
_________________________________________________________________
batch_normalization_5 (Batch (None, 100) 400
_________________________________________________________________
gaussian_noise_5 (GaussianNo (None, 100) 0
_________________________________________________________________
dense_5 (Dense) (None, 10) 1010
=================================================================
Total params: 1,410
Trainable params: 1,210
Non-trainable params: 200
_________________________________________________________________
Epoch 1/5
updating sttdev in training
0.984045691131548
1/1 [==============================] - 0s 1ms/step - loss: 1.6031
Epoch 2/5
updating sttdev in training
0.02821459469022025
1/1 [==============================] - 0s 742us/step - loss: 1.5966
Epoch 3/5
updating sttdev in training
0.6102984511769268
1/1 [==============================] - 0s 1ms/step - loss: 1.8818
Epoch 4/5
updating sttdev in training
0.021155188690323512
1/1 [==============================] - 0s 1ms/step - loss: 1.2032
Epoch 5/5
updating sttdev in training
0.35950227285165115
1/1 [==============================] - 0s 2ms/step - loss: 1.8817
<tensorflow.python.keras.callbacks.History at 0x7fc67ce9e668>
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