Model Conversion Tutorials

This section provides a set of tutorials that demonstrate conversion methods for specific TensorFlow, ONNX, PyTorch, MXNet, and Kaldi models, that unnecessarily cover your case. Before studying the tutorials, try to convert the model out-of-the-box by specifying only the --input_model parameter in the command line.

You will 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.