If you are interested in deep learning and want to learn or share your knowledge, join our community. I propose to learn by: - reading scientific papers - coding - participating to competitions - teaching others and mentoring
I hope that we will do this together and build a strong deep learning community in Strasbourg.
Generative models are one of the most promising approaches towards computers that understand our world. They do not only extract patterns from the data, but use those patterns to generate new data, unseen during training. In this meetup we will dive into some likelihood types of generative models named auto-encoders (AE), variational autoencoders (VAE) and beta-VAE. We will discuss the properties of these models, show their importance and how they work (with code).
Titus Nicolae, software engineer at Intel and Robert Maria, freelancer.
Location: online and live
The Zoom link will be sent 15 min before the meetup. For Strasbourg members, we have the possibility to host 10 persons at Alsace Digitale, 15 Av. du Rhin, 67100 Strasbourg. Physical participants should come with masks and hydroalcoholic gel.
This is a Pie & AI event in partnership with DeepLearning.AI. Pie & AI is a series of DeepLearning.AI meetups independently hosted by community groups. This event is hosted by Strasbourg Deep Learning . Please complete your registration on the signup form here:
After the event, we will provide a limited number of promotional code for attendees who complete a post-event survey sent by DeepLearning.AI. With this promo code, learners can avail 50% off the first month subscription for any DeepLearning.AI course on Coursera. You can check out a full list of courses on https://www.coursera.org/