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Copy file name to clipboardExpand all lines: pynever/Guide/usage.html
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</section>
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<sectionid="api">
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<h1>API<aclass="headerlink" href="#api" title="Link to this heading"></a></h1>
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<p>In the <aclass="reference external" href="https://github.com/NeVerTools/pyNeVer/tree/main/examples/notebooks">notebooks</a> directory there are four Jupyter Notebooks that illustrate how to use <em>pyNever</em> as an API to design, train and verify neural networks.</p>
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<p>In the <aclass="reference external" href="https://github.com/NeVerTools/pyNeVer/tree/main/examples/notebooks">notebooks</a> directory there are four Jupyter Notebooks that illustrate how to use <strong>pyNeVer</strong> as an API to design, train and verify neural networks.</p>
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<ulclass="simple">
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<li><p>The <aclass="reference external" href="https://github.com/NeVerTools/pyNeVer/blob/main/examples/notebooks/00%20-%20Networks.ipynb">first notebook</a> covers the classes and methods to build networks</p></li>
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<li><p>The <aclass="reference external" href="https://github.com/NeVerTools/pyNeVer/blob/main/examples/notebooks/01%20-%20Training.ipynb">second notebook</a> covers the learning strategy to train and test a network</p></li>
Copy file name to clipboardExpand all lines: pynever/_sources/Guide/usage.rst.txt
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API
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============
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In the `notebooks <https://github.com/NeVerTools/pyNeVer/tree/main/examples/notebooks>`_ directory there are four Jupyter Notebooks that illustrate how to use *pyNever* as an API to design, train and verify neural networks.
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In the `notebooks <https://github.com/NeVerTools/pyNeVer/tree/main/examples/notebooks>`_ directory there are four Jupyter Notebooks that illustrate how to use **pyNeVer** as an API to design, train and verify neural networks.
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- The `first notebook <https://github.com/NeVerTools/pyNeVer/blob/main/examples/notebooks/00%20-%20Networks.ipynb>`_ covers the classes and methods to build networks
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- The `second notebook <https://github.com/NeVerTools/pyNeVer/blob/main/examples/notebooks/01%20-%20Training.ipynb>`_ covers the learning strategy to train and test a network
<li><ahref="API/4_Verification.html#pynever.strategies.verification.ssbp.constants.BoundsBackend">BoundsBackend (class in pynever.strategies.verification.ssbp.constants)</a>
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</li>
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<li><ahref="API/4_Verification.html#pynever.strategies.verification.ssbp.constants.BoundsDirection">BoundsDirection (class in pynever.strategies.verification.ssbp.constants)</a>
<li><ahref="API/4_Verification.html#pynever.strategies.verification.ssbp.constants.IntersectionStrategy">IntersectionStrategy (class in pynever.strategies.verification.ssbp.constants)</a>
<li><ahref="API/1_Nodes.html#pynever.nodes.LeakyReLUNode">LeakyReLUNode (class in pynever.nodes)</a>
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</li>
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</ul></td>
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<tdstyle="width: 33%; vertical-align: top;"><ul>
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<li><ahref="API/1_Nodes.html#pynever.nodes.LeakyReLUNode">LeakyReLUNode (class in pynever.nodes)</a>
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</li>
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<li><ahref="API/3_Conversion.html#pynever.strategies.conversion.representation.load_network_path">load_network_path() (in module pynever.strategies.conversion.representation)</a>
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</li>
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<li><ahref="API/4_Verification.html#pynever.strategies.verification.properties.LocalRobustnessProperty">LocalRobustnessProperty (class in pynever.strategies.verification.properties)</a>
<li><ahref="API/4_Verification.html#pynever.strategies.verification.ssbp.constants.NeuronSplit">NeuronSplit (class in pynever.strategies.verification.ssbp.constants)</a>
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</li>
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<li><ahref="API/4_Verification.html#pynever.strategies.verification.properties.NeverProperty">NeverProperty (class in pynever.strategies.verification.properties)</a>
<li><ahref="API/4_Verification.html#pynever.strategies.verification.ssbp.constants.RefinementStrategy">RefinementStrategy (class in pynever.strategies.verification.ssbp.constants)</a>
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</li>
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<li><ahref="API/4_Verification.html#pynever.strategies.verification.ssbp.constants.RefinementTarget">RefinementTarget (class in pynever.strategies.verification.ssbp.constants)</a>
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</li>
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<li><ahref="API/1_Nodes.html#pynever.nodes.ReLUNode">ReLUNode (class in pynever.nodes)</a>
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