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[P] A Tutorial on Multi-Label Classification using Deep Learning

This blog post provides an elaborate introductory tutorial on creating Deep Learning models for Multi-Label Classification. The concept is explored by creating a neural network in Keras (using TensorFlow) that can assign multiple labels to different food items. The code for this project is available in GitHub and can also be accessed through Google Colab. You can checkout the project and the article here:

Article: https://blog.nanonets.com/multi-label-classification-using-deep-learning/

GitHub: https://github.com/thatbrguy/Multilabel-Classification

I would love to hear your thoughts and feedback about the same. Thanks!

submitted by /u/thatbrguy_
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.