September Meetup: Learning Long-Term Dependencies with Gradient Descent is Difficult

800 800 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

After a successful first run, the TWIML paper reading group is back! I’m excited to share the details of the upcoming TWIML & AI meetup! The focus of the meetup will be discussing academic papers and other texts in the machine learning and AI space, though I hope we get to see some implementation demos from time to time as well.

Our next presenter will be Nikola Kučerová, who has also stepped up along with a couple of other community members (thanks Duncan, Joshua and Nikola!) to help organize the meetup in general.

Topic: Learning Long-Term Dependencies with Gradient Descent is Difficult, by authors Yoshua Bengio, Patrice Simard, and Paolo Frasconi.

Tuesday, September 12th, 2017
3:00 PM US Pacific Time / 6:00 PM Eastern Time

Check HERE for your timezone.

To attend, please fill out the form below. If you sign up to attend the meetup here, we’ll email you the particulars as soon as they’re available.

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