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    • Bookies: Bookmarks to Crochet
    • Jonas Matthies
    • Page: 112
    • Format: pdf, ePub, mobi, fb2
    • ISBN: 9780486833941
    • Publisher: Dover Publications

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    Crochet your own bookmarks—but not just any bookmarks! These fun and unusual animal characters are Bookies, and they'll not only help you keep your place while reading but will also attract admiring attention. And you can proudly say that you made them yourself! Full-color photos and clear instructions show you how easy it is to create 17 kooky creatures, from Freddy Frog and Selma Snake to Filomena Fox and Ellie the Unicorn. Make them all! You can keep your Bookies for yourself or give them away as unique handmade gifts.

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    Crochet Cross Bookmark – Praise to the Lord. This unique style can add a new dimension to your crocheting outings. It’s worth a try this Easter. Made with a small steel hook and white cotton thread, it is solemnity redefined. You are free to accentuate it by adding some colorful beads. Putting a hook at the top and tassels near the end can very well turn it into a cute wall hanging. Free Ebooks and Downloads from All Free Crafts
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  • Before She Sleeps: A Novel. Bina Shah

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    • Before She Sleeps: A Novel
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    • Page: 256
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  • Hacking Your LEGO Mindstorms EV3 Kit. John Baichtal

    Hacking Your LEGO Mindstorms EV3 Kit


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    • Hacking Your LEGO Mindstorms EV3 Kit
    • John Baichtal
    • Page: 320
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    • ISBN: 9780789755384
    • Publisher: Que
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    EV3 without limits! Build 5 amazing robotics projects that take DIY to a whole new level! You can do way more with your LEGO Mindstorms EV3 kit than anyone ever told you! In this full-color, step-by-step tutorial, top-maker and best-selling author John Baichtal shows you how to transcend Mindstorms’ limits as you build five cutting-edge robotics projects. You’ll discover just how much you can do with only the parts that came with your kit–and how much farther you can go with extremely low-cost add-ons like Arduino and Raspberry Pi. You’ll learn how to reprogram your Mindstorms Intelligent Brick to add additional hardware options and create more complex programs. Hundreds of full-color, step-by-step photos teach you every step, every skill. Whenever you’re ready for advanced techniques, Baichtal explains them in plain English. Here’s just some of what you’ll learn how to do: Build a drawing Plotter Bot that gyrates to draw new patterns Hack Mindstorms’ wires–and control robots without wires Create a remote-controlled crane, and operate it from your smartphone Use the EV3 brick to control third-party electronic modules of all kinds Replace the EV3 brick with smarter, more flexible Arduino, Raspberry Pi, or BeagleBone Black hardware Build a robotic flower whose petals open and close based on time of day Use third-party sensors to build robots that can sense practically anything Load an alternate operating system onto your EV3 brick 3D print, laser, and mill your own perfect LEGO parts Create ball contraptions, and extend them with your own custom parts Make a pole-climbing robot–and hook up an altimeter to track its height This book is not authorized or endorsed by the LEGO® Group. Register Your Book at www.quepublishing.com/register and receive 35% off your next purchase.



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  • Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play by David Foster

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    • David Foster
    • Page: 322
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    • ISBN: 9781492041948
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    Generative modeling is one of the hottest topics in artificial intelligence. Recent advances in the field have shown how it’s possible to teach a machine to excel at human endeavors—such as drawing, composing music, and completing tasks—by generating an understanding of how its actions affect its environment. With this practical book, machine learning engineers and data scientists will learn how to recreate some of the most famous examples of generative deep learning models, such as variational autoencoders and generative adversarial networks (GANs). You’ll also learn how to apply the techniques to your own datasets. David Foster, cofounder of Applied Data Science, demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to the most cutting-edge algorithms in the field. Through tips and tricks, you’ll learn how to make your models learn more efficiently and become more creative. Get a fundamental overview of generative modeling Learn how to use the Keras and TensorFlow libraries for deep learning Discover how variational autoencoders (VAEs) work Get practical examples of generative adversarial networks (GANs) Understand how to build generative models that learn how to paint, write, and compose Apply generative models within a reinforcement learning setting to accomplish tasks

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  • 21 lecciones para el siglo XXI by Yuval Noah Harari

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