Model Conversion Tutorials¶
This section provides a set of tutorials that demonstrate conversion methods for specific
TensorFlow, ONNX, PyTorch, MXNet, and Kaldi models, which does not necessarily 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.
Note that OpenVINO support for Apache MXNet, Caffe, and Kaldi is currently being deprecated and will be removed entirely in the future.
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.