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1. en.wikipedia.org › wiki › Ian_GoodfellowIan Goodfellow - Wikipedia

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   Ian J. Goodfellow (born 1987) is an American computer scientist, engineer, and executive, most noted for his work on artificial neural networks and deep learning.

2. arxiv.org › abs › 1406[1406.2661] Generative Adversarial Networks - arXiv.org

   arxiv.org › abs › 1406

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   10. Juni 2014 · Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio. We propose a new framework for estimating generative models via an adversarial process, in which we simultaneously train two models: a generative model G that captures the data distribution, and a ...

3. www.iangoodfellow.com › bioBio - Ian Goodfellow

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   Ian Goodfellow is a leading expert in deep learning, machine learning security and privacy. He developed the first defenses against adversarial examples, wrote a popular textbook on deep learning, and worked at OpenAI and Willow Garage.

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5. scholar.google.com.sg › citations‪Ian Goodfellow‬ - ‪Google Scholar‬

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   Ian Goodfellow. DeepMind. Verified email at deepmind.com - Homepage. Deep Learning. Articles 1–20. ‪DeepMind‬ - ‪‪Cited by 295,012‬‬ - ‪Deep Learning‬.

6. de.wikipedia.org › wiki › Ian_GoodfellowIan Goodfellow – Wikipedia

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   Ian Goodfellow. Ian Goodfellow (geboren 1987) ist ein amerikanischer Informatiker und ehemaliger Director of Machine Learning bei Apple Inc. Leben und Wirken. Ian Goodfellow studierte an der Stanford University und promovierte anschließend an der Université de Montréal.

7. www.deeplearningbook.orgDeep Learning

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   Deep Learning. An MIT Press book. Ian Goodfellow and Yoshua Bengio and Aaron Courville. Exercises &nbsp Lectures &nbsp External Links &nbsp. The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular.

8. www.iangoodfellow.comIan Goodfellow --- Research Page

   www.iangoodfellow.com

   Ian Goodfellow External Links. Google Scholar profile; Deep Learning textbook; General Information. Presentations