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 <li class="toctree-l3"><a class="reference external" href="http://gluon.mxnet.io/chapter01_crashcourse/ndarray.html">Manipulate data the MXNet way with ndarray</a></li>
 <li class="toctree-l3"><a class="reference external" href="http://gluon.mxnet.io/chapter01_crashcourse/autograd.html">Automatic differentiation with autograd</a></li>
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 <li class="toctree-l3"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/vision/large_scale_classification.html">Large scale image classification</a></li>
 <li class="toctree-l3"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/sparse/csr.html">NDArray in Compressed Sparse Row Storage Format</a></li>
 <li class="toctree-l3"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/sparse/row_sparse.html">Sparse Gradient Updates</a></li>
 <li class="toctree-l3"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/sparse/train.html">Train a Linear Regression Model with Sparse Symbols</a></li>
 <li class="toctree-l3"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/speech_recognition/ctc.html">Connectionist Temporal Classification</a></li>
 <li class="toctree-l3"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/python/kvstore.html">Distributed key-value store</a></li>
 <li class="toctree-l3"><a class="reference external" href="http://mxnet.incubator.apache.org/faq/finetune.html">Fine-tuning a pre-trained ImageNet model with a new dataset</a></li>
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 <li class="toctree-l3"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/python/matrix_factorization.html">Matrix factorization in recommender systems</a></li>
 <li class="toctree-l3"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/nlp/cnn.html">Text classification (NLP) on Movie Reviews</a></li>
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 <li class="toctree-l3"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/c%2B%2B/basics.html">MNIST with the MXNet C++ API</a></li>
 <li class="toctree-l3"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/r/ndarray.html">NDArray: Vectorized Tensor Computations on CPUs and GPUs with R</a></li>
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 <li class="toctree-l3"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/r/mnistCompetition.html">MNIST with R</a></li>
 <li class="toctree-l3"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/r/classifyRealImageWithPretrainedModel.html">Classify images via R with a pre-trained model</a></li>
 <li class="toctree-l3"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/r/charRnnModel.html">Char RNN Example with R</a></li>
 <li class="toctree-l3"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/r/CustomLossFunction.html">Custom loss functions in R</a></li>
 <li class="toctree-l3"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/scala/mxnet_scala_on_intellij.html">Setup your MXNet with Scala on InelliJ</a></li>
 <li class="toctree-l3"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/scala/mnist.html">MNIST with the Scala API</a></li>
 <li class="toctree-l3"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/scala/char_lstm.html">Use Scala to build a Long Short-Term Memory network that generates Barack Obama’s speech patterns</a></li>
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 <span id="tutorials"></span><h1>Tutorials<a class="headerlink" href="#tutorials" title="Permalink to this headline">¶</a></h1>
 <p>MXNet has two primary high-level interfaces for its deep learning engine: the Gluon API and the Module API. Tutorials for each are provided below.</p>
 <p>The difference between the two is an imperative versus symbolic programming style. Gluon makes it easy to prototype, build, and train deep learning models without sacrificing training speed by enabling both (1) intuitive imperative Python code development and (2) faster execution by automatically generating a symbolic execution graph using the hybridization feature.</p>
 <p><code class="docutils literal"><span class="pre">TL;DR:</span></code> If you are new to deep learning or MXNet, you should start with the Gluon tutorials.</p>
 <p>The Gluon and Module tutorials are in Python, but you can also find a variety of other MXNet tutorials, such as R, Scala, and C++ in the <a class="reference external" href="#other-mxnet-api-tutorials">Other Languages API Tutorials</a> section below.</p>
 <p><a class="reference external" href="#example-scripts-and-applications">Example scripts and applications</a> as well as <a class="reference external" href="#contributing-tutorials">contribution</a> info is below.</p>
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 <li class="toctree-l1"><a class="reference external" href="http://gluon.mxnet.io/chapter01_crashcourse/ndarray.html">Manipulate data the MXNet way with ndarray</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://gluon.mxnet.io/chapter01_crashcourse/autograd.html">Automatic differentiation with autograd</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://gluon.mxnet.io/chapter02_supervised-learning/linear-regression-gluon.html">Linear regression with gluon</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://gluon.mxnet.io/chapter03_deep-neural-networks/serialization.html">Serialization - saving, loading and checkpointing</a></li>
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 <ul>
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 <li class="toctree-l1"><a class="reference external" href="http://gluon.mxnet.io/chapter04_convolutional-neural-networks/cnn-gluon.html">Multi-class object detection using CNNs in gluon</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://gluon.mxnet.io/chapter05_recurrent-neural-networks/rnns-gluon.html">Advanced RNNs with gluon</a></li>
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 <ul>
 <li class="toctree-l1"><a class="reference external" href="http://gluon.mxnet.io/chapter03_deep-neural-networks/plumbing.html">Plumbing: A look under the hood of gluon</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://gluon.mxnet.io/chapter03_deep-neural-networks/custom-layer.html">Designing a custom layer with gluon</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://gluon.mxnet.io/chapter07_distributed-learning/hybridize.html">Fast, portable neural networks with Gluon HybridBlocks</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://gluon.mxnet.io/chapter07_distributed-learning/multiple-gpus-gluon.html">Training on multiple GPUs with gluon</a></li>
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 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/gluon/customop.html">Creating custom operators with numpy</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/gluon/mnist.html">Handwritten digit recognition (MNIST)</a></li>
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 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/basic/ndarray.html">Imperative tensor operations on CPU/GPU</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/basic/ndarray_indexing.html">NDArray Indexing</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/basic/symbol.html">Symbol API</a></li>
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 <!-- broken #9532
 - [Image recognition](http://mxnet.incubator.apache.org/tutorials/python/predict_image.html)
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 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/sparse/csr.html">NDArray in Compressed Sparse Row Storage Format</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/sparse/row_sparse.html">Sparse Gradient Updates</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/sparse/train.html">Train a Linear Regression Model with Sparse Symbols</a></li>
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 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/speech_recognition/ctc.html">Connectionist Temporal Classification</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/python/kvstore.html">Distributed key-value store</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/faq/finetune.html">Fine-tuning a pre-trained ImageNet model with a new dataset</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/unsupervised_learning/gan.html">Generative Adversarial Networks</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/python/matrix_factorization.html">Matrix factorization in recommender systems</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/nlp/cnn.html">Text classification (NLP) on Movie Reviews</a></li>
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 </div> <!--end of applications--></div> <!--end of module--><hr/></div>
 <div class="section" id="other-languages-api-tutorials">
 <span id="other-languages-api-tutorials"></span><h2>Other Languages API Tutorials<a class="headerlink" href="#other-languages-api-tutorials" title="Permalink to this headline">¶</a></h2>
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 <ul>
 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/r/ndarray.html">NDArray: Vectorized Tensor Computations on CPUs and GPUs with R</a></li>
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 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/r/CallbackFunction.html">Callback Function</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/r/fiveMinutesNeuralNetwork.html">Five minute neural network</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/r/mnistCompetition.html">MNIST with R</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/r/classifyRealImageWithPretrainedModel.html">Classify images via R with a pre-trained model</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/r/charRnnModel.html">Char RNN Example with R</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/r/CustomLossFunction.html">Custom loss functions in R</a></li>
 </ul>
 </div>
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 <ul>
 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/scala/mxnet_scala_on_intellij.html">Setup your MXNet with Scala on InelliJ</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/scala/mnist.html">MNIST with the Scala API</a></li>
 <li class="toctree-l1"><a class="reference external" href="http://mxnet.incubator.apache.org/tutorials/scala/char_lstm.html">Use Scala to build a Long Short-Term Memory network that generates Barack Obama’s speech patterns</a></li>
 </ul>
 </div>
 </div><hr/></div>
 <div class="section" id="example-scripts-and-applications">
 <span id="example-scripts-and-applications"></span><h2>Example Scripts and Applications<a class="headerlink" href="#example-scripts-and-applications" title="Permalink to this headline">¶</a></h2>
 <p>More tutorials and examples are available in the <a class="reference external" href="https://github.com/apache/incubator-mxnet/tree/master/example">GitHub repository</a>.</p>
 </div>
 <div class="section" id="learn-more-about-gluon">
 <span id="learn-more-about-gluon"></span><h2>Learn More About Gluon!<a class="headerlink" href="#learn-more-about-gluon" title="Permalink to this headline">¶</a></h2>
 <p>Most of the Gluon tutorials are hosted on <a class="reference external" href="http://gluon.mxnet.io">gluon.mxnet.io</a>, and you may want to follow the chapters on directly the Gluon site.</p>
 </div>
 <div class="section" id="contributing-tutorials">
 <span id="contributing-tutorials"></span><h2>Contributing Tutorials<a class="headerlink" href="#contributing-tutorials" title="Permalink to this headline">¶</a></h2>
 <p>Want to contribute an MXNet tutorial? To get started, <a class="reference external" href="https://github.com/apache/incubator-mxnet/tree/master/example#contributing">review these details</a> on example and tutorial writing.</p>
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