Explanation =========== This section consists of an algorithms explanation and describes additional features that are supported by OpenVINO™ Training Extensions. :ref:`Algorithms ` section includes a description of all supported algorithms: 1. Explanation of the task and main supervised training pipeline. 2. Description of the supported datasets formats for each task. 3. Available templates and models. 4. Incremental learning approach. 5. Semi-supervised and Self-supervised algorithms. :ref:`Additional Features ` section consists of: 1. Overview of model optimization algorithms. 2. Hyper parameters optimization functionality (HPO). 3. Auto-configuration algorithm to select the most appropriate training pipeline for a given dataset. .. toctree:: :maxdepth: 3 :titlesonly: algorithms/index additional_features/index