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def make_model(input_shape): inputs = keras.Input(shape=input_shape) x = layers.Conv2D(16, (1, 5), strides=(1, 3), activation='relu')(inputs) x = layers.Conv2D(16, (1, 5), strides=(1, 3), activation='relu')(x) x = layers.Conv2D(16, (1, 5), strides=(1, 3), activation='relu')(x) x = layers.Conv2D(1, (2, 1), strides=(1, 1))(x) outputs = x return Model(inputs, outputs)
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就是不完全一致的,加快运算速度的折中,想要完全一致就会变慢。代码很少,可以进去查看
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The text was updated successfully, but these errors were encountered: