IntenseWebs/openvino
3
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

[DOCS] Link fix for Get Started for 23.0 (#18799)

Browse Source 
* Update get_started.md

* Update get_started.md
This commit is contained in:
Maciej Smyk
2023-07-26 12:25:55 +02:00
committed by GitHub
parent 28948502a9
commit cb59f057a0
1 changed files with 2 additions and 2 deletions
Download Patch File Download Diff File Expand all files Collapse all files

4
docs/get_started.md
View File

@@ -70,7 +70,7 @@ Start with :doc:`interactive Python tutorials <tutorials>` that show the basics
* `Hello Image Classification <notebooks/001-hello-world-with-output.html>`__ - Load an image classification model in OpenVINO and use it to apply a label to an image
* `OpenVINO Runtime API Tutorial <notebooks/002-openvino-api-with-output.html>`__ - Learn the basic Python API for working with models in OpenVINO
* `Convert TensorFlow Models to OpenVINO <notebooks/101-tensorflow-to-openvino-with-output.html>`__
* `Convert TensorFlow Models to OpenVINO <notebooks/101-tensorflow-classification-to-openvino-with-output.html>`__
* `Convert PyTorch Models to OpenVINO <notebooks/102-pytorch-onnx-to-openvino-with-output.html>`__
.. _code-samples:
@@ -102,7 +102,7 @@ Use OpenVINO’s model compression tools to reduce your model’s latency and me
* Tutorial - `OpenVINO Post-Training Model Quantization <notebooks/111-yolov5-quantization-migration-with-output.html>`__
* Tutorial - `Quantization-Aware Training in TensorFlow with OpenVINO NNCF <notebooks/305-tensorflow-quantization-aware-training-with-output.html>`__
* Tutorial - `Quantization-Aware Training in PyTorch with NNCF <notebooks/302-pytorch-quantization-aware-training-with-output.html>`__
* `Model Optimization Guide <notebooks/openvino_docs_model_optimization_guide.html>`__
* :doc:`Model Optimization Guide <openvino_docs_model_optimization_guide>`
Automated Device Configuration
------------------------------