def METHOD_NAME(model, data):
    conv1 = brew.conv(model, data, 'conv1', dim_in=input_channels,
                      dim_out=10, kernel=3, stride=1, pad=1, training_mode=1)
    deconv1 = brew.conv_transpose(model, conv1, 'deconv1', dim_in=10, dim_out=10,
                                  kernel=2, stride=2, pad=0, training_mode=1)
    fc1 = brew.fc(model, deconv1, 'fc1', dim_in=10 * 56 * 56, dim_out=3)
    softmax = brew.softmax(model, fc1, 'softmax')
    return softmax