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# Mulit-task learning example
 
This is a simple example to show how to use mxnet for multi-task learning. It uses MNIST as an example, trying to predict jointly the digit and whether this digit is odd or even.

For example:

![](https://camo.githubusercontent.com/ed3cf256f47713335dc288f32f9b0b60bf1028b7/68747470733a2f2f7777772e636c61737365732e63732e756368696361676f2e6564752f617263686976652f323031332f737072696e672f31323330302d312f70612f7061312f64696769742e706e67)

Should be jointly classified as 4, and Even.

In this example we don't expect the tasks to contribute to each other much, but for example multi-task learning has been successfully applied to the domain of image captioning. In [A Multi-task Learning Approach for Image Captioning](https://www.ijcai.org/proceedings/2018/0168.pdf) by Wei Zhao, Benyou Wang, Jianbo Ye, Min Yang, Zhou Zhao, Ruotian Luo, Yu Qiao, they train a network to jointly classify images and generate text captions

Please refer to the notebook for a fully worked example.