<liclass="toctree-l2"><aclass="reference internal"href="../tutorial.html#step-1-train-a-model-using-your-favorite-framework">Step 1: Train a model using your favorite framework</a></li>
<liclass="toctree-l2"><aclass="reference internal"href="../tutorial.html#step-2-convert-or-export-the-model-into-onnx-format">Step 2: Convert or export the model into ONNX format</a></li>
<liclass="toctree-l2"><aclass="reference internal"href="../tutorial.html#step-3-load-and-run-the-model-using-onnx-runtime">Step 3: Load and run the model using ONNX Runtime</a></li>
<liclass="toctree-l1 current"><aclass="current reference internal"href="#">Gallery of examples</a><ul>
<liclass="toctree-l2"><aclass="reference internal"href="plot_pipeline.html">Draw a pipeline</a></li>
<liclass="toctree-l2"><aclass="reference internal"href="plot_load_and_predict.html">Load and predict with ONNX Runtime and a very simple model</a></li>
<liclass="toctree-l2"><aclass="reference internal"href="plot_profiling.html">Profile the execution of a simple model</a></li>
<liclass="toctree-l2"><aclass="reference internal"href="plot_backend.html">ONNX Runtime Backend for ONNX</a></li>
<divclass="sphx-glr-thumbcontainer"tooltip="There is no other way to look into one model stored in ONNX format than looking into its node w..."><divclass="figure"id="id1">
<pclass="caption"><spanclass="caption-text"><aclass="reference internal"href="plot_pipeline.html#sphx-glr-auto-examples-plot-pipeline-py"><spanclass="std std-ref">Draw a pipeline</span></a></span></p>
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<divclass="sphx-glr-thumbcontainer"tooltip="This example demonstrates how to load a model and compute the output for an input vector. It al..."><divclass="figure"id="id2">
<pclass="caption"><spanclass="caption-text"><aclass="reference internal"href="plot_load_and_predict.html#sphx-glr-auto-examples-plot-load-and-predict-py"><spanclass="std std-ref">Load and predict with ONNX Runtime and a very simple model</span></a></span></p>
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<divclass="sphx-glr-thumbcontainer"tooltip="*ONNX Runtime* can profile the execution of the model. This example shows how to interpret the ..."><divclass="figure"id="id3">
<pclass="caption"><spanclass="caption-text"><aclass="reference internal"href="plot_profiling.html#sphx-glr-auto-examples-plot-profiling-py"><spanclass="std std-ref">Profile the execution of a simple model</span></a></span></p>
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<divclass="sphx-glr-thumbcontainer"tooltip="*ONNX Runtime* extends the `onnx backend API <https://github.com/onnx/onnx/blob/master/docs/Im..."><divclass="figure"id="id4">
<pclass="caption"><spanclass="caption-text"><aclass="reference internal"href="plot_backend.html#sphx-glr-auto-examples-plot-backend-py"><spanclass="std std-ref">ONNX Runtime Backend for ONNX</span></a></span></p>
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<divclass="sphx-glr-thumbcontainer"tooltip="ONNX format contains metadata related to how the model was produced. It is useful when the mode..."><divclass="figure"id="id5">
<divclass="sphx-glr-thumbcontainer"tooltip="The following demonstrates how to compute the predictions of a pretrained deep learning model o..."><divclass="figure"id="id6">
<pclass="caption"><spanclass="caption-text"><aclass="reference internal"href="plot_dl_keras.html#sphx-glr-auto-examples-plot-dl-keras-py"><spanclass="std std-ref">ONNX Runtime for Keras</span></a></span></p>
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<divclass="sphx-glr-thumbcontainer"tooltip="This example demonstrates an end to end scenario starting with the training of a scikit-learn p..."><divclass="figure"id="id7">
<pclass="caption"><spanclass="caption-text"><aclass="reference internal"href="plot_convert_pipeline_vectorizer.html#sphx-glr-auto-examples-plot-convert-pipeline-vectorizer-py"><spanclass="std std-ref">Train, convert and predict with ONNX Runtime</span></a></span></p>
<divclass="sphx-glr-thumbcontainer"tooltip="This example looks into several common situations in which *onnxruntime* does not return the mo..."><divclass="figure"id="id8">
<pclass="caption"><spanclass="caption-text"><aclass="reference internal"href="plot_common_errors.html#sphx-glr-auto-examples-plot-common-errors-py"><spanclass="std std-ref">Common errors with onnxruntime</span></a></span></p>
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<divclass="sphx-glr-thumbcontainer"tooltip="This example demonstrates an end to end scenario starting with the training of a machine learne..."><divclass="figure"id="id9">
<pclass="caption"><spanclass="caption-text"><aclass="reference internal"href="plot_train_convert_predict.html#sphx-glr-auto-examples-plot-train-convert-predict-py"><spanclass="std std-ref">Train, convert and predict with ONNX Runtime</span></a></span></p>
