p1b2_ljeabmreosn_mlp.py 文件源码

def create_model():
    # advanced activation not used yet
    srelu = advanced_activations.SReLU(
        t_left_init='zero', 
        a_left_init='glorot_uniform', 
        t_right_init='glorot_uniform', 
        a_right_init='one'
    )

    # create and return model
    model = Sequential()
    model.add(Dense(256, input_dim=input_dim, activation='sigmoid'))
    model.add(Dense(256, activation='sigmoid'))
    model.add(Dense(output_dim, activation='sigmoid'))
    return model