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Neural Networks and Deep Learning

What this book is about

On the exercises and problems

Using neural nets to recognize handwritten digits

How the backpropagation algorithm works

Improving the way neural networks learn

A visual proof that neural nets can compute any function

Why are deep neural networks hard to train?

Deep learning

Appendix: Is there a simple algorithm for intelligence?

Acknowledgements

Frequently Asked Questions



Sponsors

Deep Learning Workstations, Servers, and Laptops


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A big thankyou to all the supporters whose contributions have made this work possible. Supporters include:

Anonymous Ivan Adanja Kartik Agaram
Gui Ambros Brent J. Anderson Bennett Andrews
Philip H. Austin Kyrylo Azhytskyi Darius Bacon
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Nelson Batalha Richard Baxter Maxim Baz
Philippe Beaudoin Marco Beri Ariel Berwaldt
John Biesnecker Mark Bloore Paul Bloore
Aaron Paul Blossom David Bonner Leila Boujnane
Charles Brauer Harrison Brown Simon D. Burton
Nathan Campbell Maria Del Carmen Anyo Trey Causey
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Aaron Clauset Dominic Cooney Sidney Cox
Dominic Cummings Paulo Darocha Christopher Dawson
George Dean Hendrik Demolder Alexander v Dijk
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Michael J. Douglas Daniel George Drumea Pavel Dudrenov
Igor Dzreyev Jeff Elmore Mark England
Brian Eoff Geoff Ericksson Daniel Fernandes
Chris Ferrie Ivo Flipse Jelle Foks
Mardini Fouad Rod Frey Curtis Frye
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Jeffrey Gold Vojimir Golem Christopher Granade
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Miki Habryn Ward M. Haggard Russell Hanson
Kathryne Hawthorne Frank Hecker Pablo Loyola Heufemann
Jens Christian Hillerup Isaac A. Hodes J. Paul Hoest
Jordan Holcombe Juan Rodriguez Hortala Steve Houghton
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Paweł Jacewicz Amit Jain Damian Jordan
Victor Joukov Guilherme Juraszek Erkin Kanlioglu
Bart Kastermans Jason Kelly Alasdair K. King
SGJ Kockelkoren Douglas Kratky Charles Krempeaux
Dragisa Krsmanovic Jason Kyle Samuel Lampa
Michael Lachanski Alex Lang Ethan Langevin
Elmar Langholz Christian Langreiter Eugene Lazutkin
Jimmy Lee Matthew Leifer Daniel Lemire
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