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# "Deep Learning - From Basics to Practice" by Andrew Glassner
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## Books available from Amazon
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## Buy [Volume 1](http://amzn.to/2F4nz7k)
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## Buy [Volume 2](http://amzn.to/2EQtPR2)
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## Free Kindle Apps
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The books are available from Amazon in Kindle form. Amazon makes a
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free Kindle reader for practically anything with a screen. You can
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download them at https://www.amazon.com/kindle-dbs/fd/kcp
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## Jupyter notebooks and Figures
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# ABOUT THE NOTEBOOKS
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Only three chapters in the book contain explicit code. Chapter 15 discusses
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the Scikit-Learn library, and Chapters 23 and 24 discuss the Keras library. All of
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the code in these chapters is in Python, and is provided in Jupyter notebooks.
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Most other chapters in the book contain at least some figures that were generated
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procedurally using Python. Those chapters also have associated notebooks which are
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available here. Those notebooks are not part of the book itself, but are offered
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as a kind of "behind the scenes" look at how the figures were made for those who
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want to dig into the process. These notebooks are only lightly documented.
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Because of their role as learning materials, all of the code in these notebooks
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was written to emphasize clarity over all other stylistic concerns. This means
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that much of it can be shortened, and probably made faster as well. Feel free
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to dig in, optimize, convert to other languages, or otherwise play with the code.
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All the notebooks are released under the MIT license. Informally, you're free to
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do pretty much anything with the code, including using it in your own projects,
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or even including it in commercial projects, as long as you keep my copyright
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along with the code. While I strove for accuracy and correctness, there is no
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warranty that the code is bug-free or fit for any purpose.
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Some notebooks work with images. The images I used in the book are included
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with the notebooks. See the section below on Figures for details on their
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licensing, and see the book for the URL where each image may be found. All images
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without an explicit citation in the book are by the author, and are released
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under the MIT license.
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The code for Volumes 1 and 2 are each in their own GitHub repo:
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### Notebooks for Volume 1:
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* https://github.com/blueberrymusic/DeepLearningBookCode-Volume1
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### Notebooks for Volume 2:
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* https://github.com/blueberrymusic/DeepLearningBookCode-Volume2
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# ABOUT THE FIGURES
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The book is illustrated with roughly 1000 original figures. Most were drawn
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by the author in Adobe Illustrator. A few were drawn in Photoshop. All
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are available here in PNG format.
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Most of these images are saved at high resolution (300 dpi or better), so
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they are appropriate for presentations and talks even when projected
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to large size.
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All of these figures are released under the MIT license, like the code. This
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means you're free to use them any way you like, as long as you keep the
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copyright associated with them somehow. Use them for your classes,
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reports, papers, presentations, whatever you like!
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You're not required to attribute me or the book if you use these images,
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but I'd appreciate it if you would.
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Some figures include photographs. Many of these are by the author. All other
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photos are from Wikiart, Wikimedia, or Pixabay. The book provides a citation
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and URL to the source of each of these images. The first two sites state that
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their images are in the public domain. All images selected from Pixabay are
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labeled as released under the Creative Commons CC0 license, and explicitly
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state, "Free for commercial use. No attribution required."
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To help you better sort through and choose figures, thumbnails for all
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the figures are available.
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### Thumbnails for all figures:
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* https://github.com/blueberrymusic/DeepLearningBookFigures-Thumbnails
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The figures for Volumes 1 and 2 are each in their own GitHub repo:
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### Figures for Volume 1:
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* https://github.com/blueberrymusic/DeepLearningBookFigures-Volume1
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### Figures for Volume 2:
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* https://github.com/blueberrymusic/DeepLearningBookFigures-Volume2
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