What are the best practices for collecting and annotating data for emotion detection with deep learning?
Emotion detection is a challenging task that requires high-quality data and annotations to train deep learning models. In this article, you will learn some of the best practices for collecting and annotating data for emotion detection with deep learning, such as choosing the right data sources, defining the emotion categories, ensuring the reliability and diversity of the annotations, and using the appropriate tools and formats.
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Giovanni Sisinna??Portfolio-Program-Project Management, Technological Innovation, Management Consulting, Generative AI, Artificial…
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Minh Chien VuPh.D | Machine learning engineer
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Michael Shost, CCISO, CEH, PMP, ACP, RMP, SPOC, SA, PMO-FO?? Visionary PMO Leader & AI/ML/DL Innovator | ?? Certified Cybersecurity Expert & Strategic Engineer | ???…