Multi-task Deep Learning Experiment using fastai Pytorch

multi-face.ipynb

$loss_{total} = \lambda_{age} * loss_{age} + \lambda_{gender} * loss_{gender}$

@icmpnorequest
as far as i know, only calculating the loss together doesn't make the model to have a multi-task structure, you are doing the multi-objective learning without a multi-task model structure, right?
if the model structure is really using the classical multi-task structure as you said, could you tell me which paper/webpage you refer to?
thanks.

$loss_{total} = \lambda_{age} * loss_{age} + \lambda_{gender} * loss_{gender}$

@icmpnorequest
as far as i know, only calculating the loss together doesn't make the model to have a multi-task structure, you are doing the multi-objective learning without a multi-task model structure, right?
if the model structure is really using the classical multi-task structure as you said, could you tell me which paper/webpage you refer to?
thanks.

Maybe you could refer to the paper [19 CVPR] Multimodal Age and Gender Classification Using Ear and Profile Face Images

Hi , i have errors in imageCLassificationDataset ( function not defined) and ImageDatabunch ( flase argument for size , non existent ). Is there anyway to correct them ?

If anyone else is facing issues when running this example I have run through hell to build a multitask model. I hope I save some people time with this ready to run on Colab example https://github.com/apssouza22/cnn-for-devs/blob/master/i-multitask-model.ipynb