module 'tensorflow.python.keras.api._v1.keras.layers' has no attribute 'batch_norm'
时间: 2023-10-15 16:02:41 浏览: 55
This error occurs when you are trying to use the `batch_norm` attribute from the `keras.layers` module in TensorFlow 2.x, but it is not supported in this version.
You can replace `keras.layers.batch_norm` with `keras.layers.BatchNormalization` to use batch normalization in TensorFlow 2.x.
Here's an example of how to use `BatchNormalization`:
```
from tensorflow.keras.layers import Input, Dense, BatchNormalization
inputs = Input(shape=(10,))
x = Dense(64)(inputs)
x = BatchNormalization()(x)
outputs = Dense(1)(x)
model = Model(inputs=inputs, outputs=outputs)
```
In this example, we are using `BatchNormalization` layer after the `Dense` layer to normalize the activations of the previous layer.