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  1. Ian Goodfellow is a research scientist at OpenAI. He has invented a variety of machine learning algorithms including generative adversarial networks. He has contributed to a variety of open source machine learning software, including TensorFlow and Theano.

    • Aaron Courville, Ian Goodfellow, Yoshua Bengio
  2. May 7, 2022 · Reddit. Apple's director of machine learning, Ian Goodfellow, has resigned from the company after three years, in part due to the iPhone maker's policies about returning to work in offices. The ...

  3. Oct 29, 2017 · The authors are Ian Goodfellow, along with his Ph.D. advisor Yoshua Bengio, and Aaron Courville. All three are widely published experts in the field of artificial intelligence (AI). In addition to being available in both hard cover and Kindle the authors also make the individual chapter PDFs available for free on the Internet.

  4. Ian Goodfellow is best known for inventing Generative Adversarial Networks (GANs), now a widely-used class of algorithms. Aside from his stints at Google Brain and OpenAI, Goodfellow recently published the textbook Deep Learning with his former advisors, Yoshua Bengio and Aaron Courville. Andrew sits down with Goodfellow to discuss how he first ...

  5. www.iangoodfellow.com › slides › 2016/12/04-NIPSIan Goodfellow

    Ian Goodfellow

  6. Nov 18, 2016 · Books. Deep Learning. Ian Goodfellow, Yoshua Bengio, Aaron Courville. MIT Press, Nov 18, 2016 - Computers - 800 pages. An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep ...

  7. Characterisation of the novel mechanism of calicivirus protein synthesis We have recently reported that caliciviruses use a novel protein-directed translation initiation mechanism that involves the binding of translation initiation factors to the VPg protein that is covalently linked to the 5’ end of the viral RNA (Goodfellow et al. EMBO Reports 2005, Chaudhry et al. JBC 2006).

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