Documentation

.. meta:: :description: Explore the OpenVINO toolkit workflow that entails preparing, optimizing and deploying models in deep learning applications.

.. toctree:: :maxdepth: 1 :hidden:

API Reference <api/api_reference> OpenVINO IR format and Operation Sets <documentation/openvino-ir-format> Compatibility and Support <documentation/compatibility-and-support> Legacy Features <documentation/legacy-features> OpenVINO Extensibility <documentation/openvino-extensibility> OpenVINO Security <documentation/openvino-security>

This section provides reference documents for the OpenVINO toolkit, such as API and Operation listing.

| :doc:API Reference doc path <api/api_reference> | A collection of reference articles for OpenVINO C++, C, Node.js, and Python APIs, as well as the Python API for OpenVINO GenAI.

| :doc:OpenVINO IR format <documentation/openvino-ir-format> | A section describing the OpenVINO IR model format and its opsets.

| :doc:Legacy Features <documentation/legacy-features> | The information on all OpenVINO components that have recently been deprecated or discontinued.

| :doc:OpenVINO Extensibility Mechanism <documentation/openvino-extensibility> | The Intel® Distribution of OpenVINO™ toolkit supports neural network models trained with various frameworks, including TensorFlow, PyTorch, ONNX, TensorFlow Lite, and PaddlePaddle. Learn how to extend OpenVINO functionality with custom settings.

| :doc:OpenVINO™ Security <documentation/openvino-security> | Learn how to use OpenVINO securely and protect your data to meet specific security and privacy requirements.