def inception_v3(pretrained=False, ctx=cpu(),
                 root=os.path.join(base.data_dir(), 'models'), **kwargs):
    r"""Inception v3 model from
    `"Rethinking the Inception Architecture for Computer Vision"
    <http://arxiv.org/abs/1512.00567>`_ paper.

    Parameters
    ----------
    pretrained : bool, default False
        Whether to load the pretrained weights for model.
    ctx : Context, default CPU
        The context in which to load the pretrained weights.
    root : str, default $MXNET_HOME/models
        Location for keeping the model parameters.
    """
    net = Inception3(**kwargs)
    if pretrained:
        from ..model_store import get_model_file
        net.load_parameters(get_model_file('inceptionv3', root=root), ctx=ctx)
    return net
r"""Inception v3 model from
    `"Rethinking the Inception Architecture for Computer Vision"
    <http://arxiv.org/abs/1512.00567>`_ paper.

    Parameters
    ----------
    pretrained : bool, default False
        Whether to load the pretrained weights for model.
    ctx : Context, default CPU
        The context in which to load the pretrained weights.
    root : str, default $MXNET_HOME/models
        Location for keeping the model parameters.