Deep Neural Nets for Visual Recognition with Matt Zeiler - TWiML Talk #22

2017-05-05 · 22 min · episode 22 · 16 entities

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Asserted relationships

→ appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast

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evidence rules-v4
Deep Neural Nets for Visual Recognition with Matt Zeiler - TWiML Talk #22
→ hosted by Sam Charrington person

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Feed author/publisher: Sam Charrington
→ founded Clarifai company

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founded Clarifai
→ founded Clarifai company

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founded Clarifai
→ discusses Science concept

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Feed category: Science
→ discusses Technology company

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Feed category: Technology
→ discusses News concept

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evidence rules-v4
Feed category: News
→ discusses Tech News concept

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evidence rules-v4
Feed category: Tech News
→ hosted by TWIML company

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evidence rules-v4
Feed author/publisher: TWIML

Entities found in this episode

companys 7

mentioned TWIML company

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Feed author/publisher: TWIML
mentioned Clarifai company

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evidence rules-v4
founded Clarifai
founded Clarifai company

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evidence rules-v4
founded Clarifai
founded Clarifai company

0.54

evidence rules-v4
founded Clarifai
mentioned Technology company

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evidence rules-v4
Feed category: Technology
discusses Technology company

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evidence rules-v4
Feed category: Technology
hosted by TWIML company

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evidence rules-v4
Feed author/publisher: TWIML

concepts 5

mentioned Science concept

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evidence rules-v4
Feed category: Science
mentioned Tech News concept

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evidence rules-v4
Feed category: Tech News
discusses Science concept

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evidence rules-v4
Feed category: Science
discusses News concept

0.40

evidence rules-v4
Feed category: News
discusses Tech News concept

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evidence rules-v4
Feed category: Tech News

persons 3

mentioned Matt Zeiler person

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evidence rules-v4
Deep Neural Nets for Visual Recognition with Matt Zeiler - TWiML Talk #22
mentioned Sam Charrington person

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evidence rules-v4
Feed author/publisher: Sam Charrington
hosted by Sam Charrington person

0.55

evidence rules-v4
Feed author/publisher: Sam Charrington

podcasts 1

appeared on The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence podcast

0.68

evidence rules-v4
Deep Neural Nets for Visual Recognition with Matt Zeiler - TWiML Talk #22

Episode description as stored

Today we bring you our final interview from backstage at the NYU FutureLabs AI Summit. Our guest this week is Matt Zeiler. Matt graduated from the University of Toronto where he worked with deep learning researcher Geoffrey Hinton and went on to earn his PhD in machine learning at NYU, home of Yann Lecun. In 2013 Matt’s founded Clarifai, a startup whose cloud-based visual recognition system gives developers a way to integrate visual identification into their own products, and whose initial image classification algorithm achieved top 5 results in that year’s ImageNet competition. I caught up with Matt after his talk “From Research to the Real World”. Our conversation focused on the birth and growth of Clarifai, as well as the underlying deep neural network architectures that enable it. If you’ve been listening to the show for a while, you’ve heard me ask several guests how they go about evolving the architectures of their deep neural networks to enhance performance. Well, in this podcast Matt gives the most satisfying answer I’ve received to date by far. Check it out. I think you’ll enjoy it. The show notes can be found at twimlai.com/talk/22.