UserWarning: Do not pass a layer instance (such as LeakyReLU) as the activation argument of another layer. Instead, advanced activation layers should be used just like any other layer in a model. identifier=identifier.__class__.__name__))

这个 UserWarning 是因为在一个层的 activation 参数中传递了另一个层的实例，比如 LeakyReLU 等高级激活函数层。这样做是不被支持的，应该像使用任何其他层一样使用高级激活函数层。

例如，将 LeakyReLU 作为激活函数传递给 Dense 层时：

from tensorflow.keras.layers import Dense, LeakyReLU

model = Sequential([
    Dense(64, activation=LeakyReLU(alpha=0.1)),
    ...
])

应该将其改为：

from tensorflow.keras.layers import Dense
from tensorflow.keras.layers import LeakyReLU

model = Sequential([
    Dense(64),
    LeakyReLU(alpha=0.1),
    ...
])

这样就可以避免这个 UserWarning 了。

相关问题

UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument.

UserWarning: torch.meshgrid:在即将发布的版本中，需要传递索引参数。这个警告是因为在下一个版本中，torch.meshgrid函数将要求传递索引参数。解决方法是在函数调用时使用return _VF.meshgrid(tensors, **kwargs, indexing='ij')来指定索引参数，并且添加# type: ignore[attr-defined]来解除警告。

UserWarning: The soupsieve package is not installed. CSS selectors cannot be used. warnings.warn(

As an AI language model, I cannot install packages on my system. However, this warning message indicates that the soupsieve package is not installed on your system, which means that you cannot use CSS selectors in your code. To resolve this issue, you need to install the soupsieve package using pip install soupsieve command in your terminal or command prompt.