Name: Powered by TensorFlow: helping paleographers transcribe medieval text using machine learning
Uploaded: 2020-03-25T02:43:58.000Z
Duration: 2 min 59 s
Description: Thousands of YouTube videos with English-Chinese subtitles! Now you can learn to understand native speakers, expand your vocabulary, and improve your pronunciation...

SERENA AMMIRATI: Looking at this book page by page

and trying to decipher, read, and transcribe whatever is

It would require an army of paleographers.

ELENA NIEDDU: What I am excited the most about machine learning

is that it enabled us to solve problems that up to 10,

ELENA NIEDDU: Before using any kind of machine learning model,

You have thousands of images of dogs and cats in the internet,

but there's very little images of ancient manuscripts.

We built our own custom web application for crowdsourcing.

And we involved high school students to collect the data.

I didn't know much about machine learning in general.

But I found it very easy to create a TensorFlow

which model worked best for us, Keras was the best solution.

The production model runs on TensorFlow layers, an estimator

We experimented with binary classification,

And finally, we moved to convolutional neural network

ELENA NIEDDU: When it comes to recognizing single characters,

SERENA AMMIRATI: This will have an enormous impact.

have a massive quantity of historical information

ELENA NIEDDU: I just think solving problems is fun.

It's a game against myself, and how good I can do.

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Powered by TensorFlow: helping paleographers transcribe medieval text using machine learning

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