Multi-task Deep Learning for Image Tagging
Multi-task Deep Learning for Image Tagging


In this presentation we build a multi-task deep learning model using DLPy to tag fashion clothing items. Convolutional neural networks show extraordinary performance for image classification and object recognition applications. DLPy is a high-level and easy-to-use Python API for SAS Deep Learning models. We explain how DLPy can be applied to data preparation, data processing, multi-task model building, assessment and deployment for image tagging.


Haidar Altaie is a Data Scientist at SAS. He joined SAS in September 2018 after graduating with a Mathematics and Statistics degree, and is now passionate to integrate Advanced Analytics, Machine Learning, Forecasting and Computer Vision techniques across various industries to enable customer to solve complex real life problem.

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