코드입니다

출력은 대충 이렇게 나옵니다.

2024-07-12 12:07:30.344063: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.

2024-07-12 12:07:30.923519: I tensorflow/core/util/port.cc:113] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.

c:\Users\d4143\AppData\Local\Programs\Python\Python312\Lib\site-packages\keras\src\layers\core\dense.py:87: UserWarning: Do not pass an `input_shape`/`input_dim` argument to a layer. When using Sequential models, prefer using an `Input(shape)` object as the first layer in the model instead.

  super().__init__(activity_regularizer=activity_regularizer, **kwargs)

Traceback (most recent call last):

", line 31, in <module>

    Dense(128, activation='SiLU', input_shape=(784,)),  # 첫 번째 은닉층: 128개의 뉴런, Leaky ReLU 활성화 함수 적용

    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

  line 89, in __init__

    self.activation = activations.get(activation)

                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^

  line 104, in get

    raise ValueError(

ValueError: Could not interpret activation function identifier: SiLU

stackoverflow에 검색해도 나오지 않아 여기에 질문드립니다. sigmoid함수나 tanh같은 건 잘 돌아가는데 왜 swish만 안 될까요?