Model Conversion Tutorials

This section provides you with a set of tutorials that demonstrate conversion steps for specific TensorFlow, ONNX, PyTorch, MXNet, and Kaldi models. It contains conversion recipes for concrete models, that unnecessarily cover your case. Try to convert the model out-of-the-box, meaning only the --input_model parameter is specified in the command line, before studying the tutorials.

You can also find a collection of Python tutorials written for running on Jupyter* notebooks that provide an introduction to the OpenVINO™ toolkit and explain how to use the Python API and tools for optimized deep learning inference.