Training Tools

Target audience: software developers

---

The Training domain covers all enablers associated with Deep Learning model training. Specifically, under the context of the Training domain, Enabler 2 was implemented to provide tools for pre-processing, handcrafted feature extraction, and learning emotion representations using self-supervised learning techniques. The emotion representations are lower-dimensional descriptive features extracted from data in an automated manner by optimized Neural Networks. Moreover, Enabler 3 is delivered as a set of tools to be used to extract features (pre-trained or handcrafted) from raw data. Finally, pre-trained models can later be used to build emotion classifiers given annotated data with emotions as required by Enabler 4.