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How Deep Learning has Revolutionized OCR with Cha Zhang - #416

2020-10-05 · 58 min · episode 416 · 17 entities

episode page audio

Asserted relationships

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    How Deep Learning has Revolutionized OCR with Cha Zhang - #416
  • → hosted by Sam Charrington person
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    Feed author/publisher: Sam Charrington
  • → works at MSFT company
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    work at MSFT
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    work at MSFT
  • → discusses Science concept
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  • → hosted by TWIML company
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    Feed author/publisher: TWIML

Entities found in this episode

companys 7

  • mentioned TWIML company
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    Feed author/publisher: TWIML
  • mentioned MSFT company
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    work at MSFT
  • mentioned Technology company
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    evidence rules-v4
    Feed category: Technology
  • works at MSFT company
    0.48
    evidence rules-v4
    work at MSFT
  • works at MSFT company
    0.48
    evidence rules-v4
    work at MSFT
  • 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 6

  • mentioned Science concept
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    Feed category: Science
  • mentioned Tech News concept
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    Feed category: Tech News
  • discusses Science concept
    0.40
    evidence rules-v4
    Feed category: Science
  • discusses News concept
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    Feed category: News
  • discusses Tech News concept
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    Feed category: Tech News
  • mentioned OCR concept
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    OCR

persons 3

  • mentioned Cha Zhang person
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    How Deep Learning has Revolutionized OCR with Cha Zhang - #416
  • 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

Episode description as stored
Today we’re joined by Cha Zhang, a Partner Engineering Manager at Microsoft Cloud & AI.  Cha’s work at MSFT is focused on exploring ways that new technologies can be applied to optical character recognition, or OCR, pushing the boundaries of what has been seen as an otherwise ‘solved’ problem. In our conversation with Cha, we explore some of the traditional challenges of doing OCR in the wild, and what are the ways in which deep learning algorithms are being applied to transform these solutions.  We also discuss the difficulties of using an end to end pipeline for OCR work, if there is a semi-supervised framing that could be used for OCR, the role of techniques like neural architecture search, how advances in NLP could influence the advancement of OCR problems, and much more.  The complete show notes for this episode can be found at twimlai.com/go/416.