Today we’re joined by Elena Nieddu, Phd Student at Roma Tre University, who presented on her project “In Codice Ratio” at the TF Dev Summit.
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In our conversation, Elena provides an overview of the project, which aims to annotate and transcribe Vatican secret archive documents via machine learning. We discuss the many challenges associated with transcribing this vast archive of handwritten documents, including overcoming the high cost of data annotation. I think you’ll agree that her team’s approach to that challenge was particularly creative.
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We’d like to send a huge thanks to the TensorFlow team for helping us bring you this podcast series and giveaway. With all the great announcements coming out of the TensorFlow Dev Summit, including the 2.0 alpha, you should definitely check out the latest and greatest at tensorflow.org where you can also download and start building with the framework.
Dev Summit attendees received an awesome gift box from Google that included some fun toys that will appeal to the hackers and builders in our audience, including the new Coral Edge TPU device and the SparkFun Edge development board powered by TensorFlow. If you’re a geek like me and get excited about toys like these, I’m excited to tell you that we’ve got our hands on a few of these for you, our dedicated listeners. To enter to win one, just visit twimlai.com/tfgiveaway and let us know what you would do with this kit if you got your hands on it.
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Mentioned in the Interview
- Paper: Towards Knowledge Discovery from the Vatican Secret Archives. In Codice Ratio — Episode 1: Machine Transcription of the Manuscripts
- In Codice Ratio: Machine Transcription in the Vatican Secret Archive (TF Dev Summit ’19)
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“More On That Later” by Lee Rosevere licensed under CC By 4.0