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| from tensorflow import keras | |
| def custom_act(x): | |
| return x**2 | |
| model = keras.models.Sequential() | |
| model.add(keras.layers.Dense(1, input_dim=1, use_bias=False, activation=custom_act)) | |
| model.add(keras.layers.Dense(1)) | |
| model.compile(loss="mean_squared_error") |
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