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Designing Better Sequence Models with RNNs with Adji Bousso Dieng - TWiML Talk #160 episode artwork

EPISODE · Jul 2, 2018 · 38 MIN

Designing Better Sequence Models with RNNs with Adji Bousso Dieng - TWiML Talk #160

from The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) · host Sam Charrington

In this episode, I'm joined by Adji Bousso Dieng, PhD Student in the Department of Statistics at Columbia University to discuss two of her recent papers, “Noisin: Unbiased Regularization for Recurrent Neural Networks” and “TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency.” We dive into the details behind both of these papers and learn a ton along the way.

What this episode covers

In this episode, I'm joined by Adji Bousso Dieng, PhD Student in the Department of Statistics at Columbia University to discuss two of her recent papers, “Noisin: Unbiased Regularization for Recurrent Neural Networks” and “TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency.” We dive into the details behind both of these papers and learn a ton along the way.

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Designing Better Sequence Models with RNNs with Adji Bousso Dieng - TWiML Talk #160

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Frequently Asked Questions

How long is this episode of The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)?

This episode is 38 minutes long.

When was this The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) episode published?

This episode was published on July 2, 2018.

What is this episode about?

In this episode, I'm joined by Adji Bousso Dieng, PhD Student in the Department of Statistics at Columbia University to discuss two of her recent papers, “Noisin: Unbiased Regularization for Recurrent Neural Networks” and “TopicRNN: A Recurrent...

Can I download this The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) episode?

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