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<div class="nonumber_header"><h2><a href="index.html">ニューラルネットワークと深層学習</a></h2></div>
<div class="section"><div id="toc">
<p class="toc_title"><a href="index.html">ニューラルネットワークと深層学習</a></p><p class="toc_not_mainchapter"><a href="about.html">What this book is about</a></p><p class="toc_not_mainchapter"><a href="exercises_and_problems.html">On the exercises and problems</a></p><p class='toc_mainchapter'><a id="toc_using_neural_nets_to_recognize_handwritten_digits_reveal" class="toc_reveal" onMouseOver="this.style.borderBottom='1px solid #2A6EA6';" onMouseOut="this.style.borderBottom='0px';"><img id="toc_img_using_neural_nets_to_recognize_handwritten_digits" src="images/arrow.png" width="15px"></a><a href="chap1.html">ニューラルネットワークを用いた手書き文字認識</a><div id="toc_using_neural_nets_to_recognize_handwritten_digits" style="display: none;"><p class="toc_section"><ul><a href="chap1.html#perceptrons"><li>Perceptrons</li></a><a href="chap1.html#sigmoid_neurons"><li>Sigmoid neurons</li></a><a href="chap1.html#the_architecture_of_neural_networks"><li>The architecture of neural networks</li></a><a href="chap1.html#a_simple_network_to_classify_handwritten_digits"><li>A simple network to classify handwritten digits</li></a><a href="chap1.html#learning_with_gradient_descent"><li>Learning with gradient descent</li></a><a href="chap1.html#implementing_our_network_to_classify_digits"><li>Implementing our network to classify digits</li></a><a href="chap1.html#toward_deep_learning"><li>Toward deep learning</li></a></ul></p></div>
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});</script><p class='toc_mainchapter'><a id="toc_deep_learning_reveal" class="toc_reveal" onMouseOver="this.style.borderBottom='1px solid #2A6EA6';" onMouseOut="this.style.borderBottom='0px';"><img id="toc_img_deep_learning" src="images/arrow.png" width="15px"></a>Deep learning<div id="toc_deep_learning" style="display: none;"><p class="toc_section"><ul><li>Convolutional neural networks</li><li>Pretraining</li><li>Recurrent neural networks, Boltzmann machines, and other models</li><li>Is there a universal thinking algorithm?</li><li>On the future of neural networks</li></ul></p></div>
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});</script><p class="toc_not_mainchapter"><a href="acknowledgements.html">Acknowledgements</a></p><p class="toc_not_mainchapter"><a href="faq.html">Frequently Asked Questions</a></p>
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Thanks also to all the contributors to the <a
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<p class="sidebar">著者と共にこの本を作り出してくださった<a
href="supporters.html">サポーター</a>の皆様に感謝いたします。
また、<a
href="bugfinder.html">バグ発見者の殿堂</a>に名を連ねる皆様にも感謝いたします。
また、日本語版の出版にあたっては、<a
href="translators.html">翻訳者</a>の皆様に深く感謝いたします。
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<p class="sidebar">この本は目下のところベータ版で、開発続行中です。
エラーレポートは [email protected] まで、日本語版に関する質問は [email protected] までお送りください。
その他の質問については、まずは<a
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著：<a href="http://michaelnielsen.org">Michael Nielsen</a> / 2014年9月-12月 <br > 訳：<a href="https://github.com/nnadl-ja/nnadl_site_ja">「ニューラルネットワークと深層学習」翻訳プロジェクト</a>
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この本では、次のような内容を扱います。
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<li>Deep learning, a powerful set of techniques for learning in neural
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<li>ニューラルネットワーク：コンピュータに、観測データにもとづいて学習する能力を与える、生物学にヒントを得たプログラミングパラダイム。
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ニューラルネットワークと深層学習は、現時点において、画像認識、音声認識、自然言語処理などの分野の様々な
問題に対して、最も優れた解決策を与える手法です。この本では、ニューラルネットワークと深層学習の背後にある
核心的概念を扱います。
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今は、以下の章が読めます。。
</p>
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<ul>
<!--<li><b><a href="chap1.html">Read Chapter 1</a></b>, which explains how
neural networks can learn to recognize handwriting -->
<li><b><a href="chap1.html">第1章</a></b>では、ニューラルネットワークが手書き文字を認識するしくみを説明します。
<!--<li><b><a href="chap2.html">Read Chapter 2</a></b>, which explains
backpropagation, the most important algorithm used to learn in neural
networks.-->
<li><b><a href="chap2.html">第2章</a></b>では、ニューラルネットワークを学習させる最も重要なアルゴリズムである、逆伝播という手法を説明します。
<!--<li><b><a href="chap3.html">Read Chapter 3</a></b>, which explains
many techniques which can be used to improve the performance of
backpropagation.-->
<li><b><a href="chap3.html">第3章</a></b>では、逆伝播の性能を向上させるための様々な技法を紹介します。
<!--<li><b><a href="chap4.html">Read Chapter 4</a></b>, which explains why
neural networks can compute any function.-->
<li><b><a href="chap4.html">第4章</a></b>では、ニューラルネットワークがなぜ任意の関数を計算できるのかを証明します。
<!--<li><b><a href="about.html">Learn more about the approach taken in
this book</a></b>
-->
<li><b><a href="about.html">この本について</a></b>では、この本で採用したアプローチについて説明します。
</ul>
</p>
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</div><div class="footer"> <span class="left_footer"> In academic work,
please cite this book as: Michael A. Nielsen, "Neural Networks and
Deep Learning", Determination Press, 2014
<br/>
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build on this book, but not to sell it. If you're interested in
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