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<li><a class="reference internal" href="#">Neural Networks</a></li>
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<section id="neural-networks">
<span id="neural-network-examples"></span><span id="sphx-glr-auto-examples-neural-networks"></span><h1>Neural Networks<a class="headerlink" href="#neural-networks" title="Link to this heading">¶</a></h1>
<p>Examples concerning the <a class="reference internal" href="../../modules/classes.html#module-sklearn.neural_network" title="sklearn.neural_network"><code class="xref py py-mod docutils literal notranslate"><span class="pre">sklearn.neural_network</span></code></a> module.</p>
<div class="sphx-glr-thumbnails"><div class="sphx-glr-thumbcontainer" tooltip="This example visualizes some training loss curves for different stochastic learning strategies,..."><img alt="" src="../../_images/sphx_glr_plot_mlp_training_curves_thumb.png" />
<p><a class="reference internal" href="plot_mlp_training_curves.html#sphx-glr-auto-examples-neural-networks-plot-mlp-training-curves-py"><span class="std std-ref">Compare Stochastic learning strategies for MLPClassifier</span></a></p>
<div class="sphx-glr-thumbnail-title">Compare Stochastic learning strategies for MLPClassifier</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="For greyscale image data where pixel values can be interpreted as degrees of blackness on a whi..."><img alt="" src="../../_images/sphx_glr_plot_rbm_logistic_classification_thumb.png" />
<p><a class="reference internal" href="plot_rbm_logistic_classification.html#sphx-glr-auto-examples-neural-networks-plot-rbm-logistic-classification-py"><span class="std std-ref">Restricted Boltzmann Machine features for digit classification</span></a></p>
<div class="sphx-glr-thumbnail-title">Restricted Boltzmann Machine features for digit classification</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="A comparison of different values for regularization parameter 'alpha' on synthetic datasets. Th..."><img alt="" src="../../_images/sphx_glr_plot_mlp_alpha_thumb.png" />
<p><a class="reference internal" href="plot_mlp_alpha.html#sphx-glr-auto-examples-neural-networks-plot-mlp-alpha-py"><span class="std std-ref">Varying regularization in Multi-layer Perceptron</span></a></p>
<div class="sphx-glr-thumbnail-title">Varying regularization in Multi-layer Perceptron</div>
</div><div class="sphx-glr-thumbcontainer" tooltip="Sometimes looking at the learned coefficients of a neural network can provide insight into the ..."><img alt="" src="../../_images/sphx_glr_plot_mnist_filters_thumb.png" />
<p><a class="reference internal" href="plot_mnist_filters.html#sphx-glr-auto-examples-neural-networks-plot-mnist-filters-py"><span class="std std-ref">Visualization of MLP weights on MNIST</span></a></p>
<div class="sphx-glr-thumbnail-title">Visualization of MLP weights on MNIST</div>
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