Acknowledgments

We’re grateful to the team at untapt, particularly Andrew Vlahutin, Sam Kenny, and Vince Petaccio II, who supported us while we wrote this book, with extra-special mention to the neural-network-loving Ed Donner, who ceaselessly encourages us to pursue our passions in the field of deep learning.

Additionally, we’re grateful to the dozens of members of the Deep Learning Study Group10 who regularly attend our stimulating and vibrant sessions at untapt’s New York offices. Because the book is derived from our Study Group discussions, it is difficult to imagine how the book would otherwise have been conceived.

10. deeplearningstudygroup.org

Thanks to our technical reviewers for invaluable feedback that noticeably improved the book’s content: Alex Lipatov, Andrew Vlahutin, Claudia Perlich, Dmitri Nesterenko, Jason Baik, Laura Graesser, Michael Griffiths, Paul Dix, and Wah Loon Keng. Thanks to the book’s editors and managers—Chris Zahn, Betsy Hardinger, Anna Popick, and Julie Nahil—whose meticulousness and thoughtfulness ensured the book’s quality, clarity, and presentation. Thanks to Jared Lander, who leads the New York Open Statistical Programming community that both seeded our Deep Learning Study Group and facilitated meeting Pearson’s Debra Williams Cauley. Special thanks are due to Debra herself, who has backed our colorful publication ideas from the day we met her and who has been instrumental in ensuring their success. Thanks as well to the scientists and machine learning experts who mentored us academically, and who continue to inspire us, particularly Jonathan Flint, Felix Agakov, and Will Valdar.

Finally, countless thanks are due to our families and our friends, who not only put up with us working through our time with them on vacations and weekends, but also selflessly motivate us as we do.

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