DeepLearningTutorial/index.html at master · kitchell/DeepLearningTutorial · GitHub

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  <meta name="author" content="Lindsey M Kitchell">

  <title>Intro to Deep Learning</title>

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      <div class="sidebar-heading">Deep Learning With Keras</div>
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        <a href="1introtodeeplearning.html" class="list-group-item list-group-item-action bg-light">1. Intro to Deep Learning</a>
        <a href="2introtokeras.html" class="list-group-item list-group-item-action bg-light">2. Intro to Keras</a>
        <a href="3mlpsinkeras.html" class="list-group-item list-group-item-action bg-light">3. MLPs in Keras</a>
        <a href="4cnnsinkeras.html" class="list-group-item list-group-item-action bg-light">4. CNNs in Keras</a>
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        <a href="6otherkerasfunctions.html" class="list-group-item list-group-item-action bg-light">6. Other Useful Keras Functions</a>
        <a href="7lossfunctionsoptimizers.html" class="list-group-item list-group-item-action bg-light">7. Loss Functions and Optimizers</a>
        <a href="8evaluatingnns.html" class="list-group-item list-group-item-action bg-light">8. Evaluating Neural Networks</a>
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        <a href="11hyperparametertuning.html" class="list-group-item list-group-item-action bg-light">11. Hyperparameter Tuning</a>
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        <h1>Introduction to Deep Learning with Keras</h1>
          <hr>

          <p>This tutorial focuses on a basic introduction to deep learning and how to get started using the python library Keras.
              Some experience with python and machine learning is assumed. Experience using the python library
              sci-kit-learn will also be very helpful. </p>

          <p>It is recommended that you follow the tutorial in order. To begin, click on the first menu item on the left
              <a href=1introtodeeplearning.html>1. Intro to Deep Learning</a></p>


          <p>The content of this tutorial was created by <a href="https://lindseykitchell.weebly.com/">Lindsey Kitchell</a>
              in the summer of 2018 as part of her qualifying exams for her Ph.D. in the department of <a href="https://psych.indiana.edu/">Psychological and
              Brain Sciences</a> and the <a href="http://www.cogs.indiana.edu/">Program of Cognitive Science</a> at Indiana University. </p>

              <h3 id="sources-and-useful-resources">Sources and Useful Resources</h1>
<p>For learning about machine learning in general, I recommend this <a href="https://www.udacity.com/course/intro-to-machine-learning--ud120">free introductory course from udacity</a>. It will get you up and running with machine learning in python very quickly. </p>
<p>I also recommend this book by the creator of Keras (the python library used in this tutorial): <a href="https://www.manning.com/books/deep-learning-with-python">Deep Learning with Python</a>. It has a lot of detailed information about deep learning in general and how to implement it with Keras. </p>
<p>The following links were very helpful in the creation of this tutorial:</p>
<ul>
<li><a href="https://www.youtube.com/watch?v=FrkYu2zVUyM">https://www.youtube.com/watch?v=FrkYu2zVUyM</a></li>
<li><a href="https://github.com/leriomaggio/deep-learning-keras-tensorflow/tree/pydata-london2017">https://github.com/leriomaggio/deep-learning-keras-tensorflow/tree/pydata-london2017</a></li>
<li><a href="https://machinelearningmastery.com/tutorial-first-neural-network-python-keras/">https://machinelearningmastery.com/tutorial-first-neural-network-python-keras/</a></li>
<li><a href="https://elitedatascience.com/keras-tutorial-deep-learning-in-python#step-7">https://elitedatascience.com/keras-tutorial-deep-learning-in-python#step-7</a></li>
<li><a href="https://github.com/keras-team/keras/tree/master/examples">https://github.com/keras-team/keras/tree/master/examples</a></li>
<li><a href="https://github.com/leriomaggio/deep-learning-keras-tensorflow/blob/euroscipy2017/1%20Multi-layer%20Fully%20Connected%20Networks.ipynb">https://github.com/leriomaggio/deep-learning-keras-tensorflow/blob/euroscipy2017/1%20Multi-layer%20Fully%20Connected%20Networks.ipynb</a></li>
<li><a href="http://neuralnetworksanddeeplearning.com/chap1.html">http://neuralnetworksanddeeplearning.com/chap1.html</a></li>
<li><a href="https://www.youtube.com/channel/UC9OeZkIwhzfv-_Cb7fCikLQ">https://www.youtube.com/channel/UC9OeZkIwhzfv-_Cb7fCikLQ</a></li>
<li><a href="https://machinelearningmastery.com/applied-deep-learning-in-python-mini-course/">https://machinelearningmastery.com/applied-deep-learning-in-python-mini-course/</a></li>
<li><a href="https://github.com/fchollet/keras-resources">https://github.com/fchollet/keras-resources</a></li>
</ul>

          <p>This tutorial was originally created as a <a href="https://github.com/kitchell/DeepLearningTutorial_LBspectrum">github repository</a>.</p>
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