def METHOD_NAME():
    d_input = Input(shape=d_input_shape)
    d = d_build_conv(d_input, 32, 5, strides=2, norm=False)
    d = d_build_conv(d, 64, 5, strides=2)
    d = d_build_conv(d, 64, 5, strides=2)
    d = d_build_conv(d, 128, 5, strides=2)
    d = d_build_conv(d, 128, 5, strides=2)
    flat = Flatten()(d)
    fc1 = Dense(1024, activation='relu')(flat)
    d_output = Dense(1, activation='sigmoid')(fc1)
    return Model(d_input, d_output)