Published on March 27, 2019 by

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.

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. The complete show notes for this episode can be found at https://twimlai.com/talk/243.

I’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 https://tensorflow.org where you can also download and start building with the framework.

In conjunction with the TensorFlow 2.0 alpha release, and our TensorFlow Dev Summit series, we invite you to enter our TensorFlow Edge Kit Giveaway. Winners will receive a gift box from Google that includes some fun toys including the new Coral Edge TPU device and the SparkFun Edge development board powered by TensorFlow. Find out more at https://twimlai.com/tfgiveaway.

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