Loading...

Semi-supervised learning with GANs - Andreas Merentitis, Carmine Paolino, Vaibhav Singh

2,473 views

Loading...

Loading...

Rating is available when the video has been rented.
This feature is not available right now. Please try again later.
Published on Aug 1, 2018

PyData Berlin 2018

In many practical machine learning classification applications, the training data for one or all of the classes may be limited. We will examine how semi-supervised learning using Generative Adversarial Networks (GANs) can be used to improve generalization in these settings. The full approach from training to model deployment will be demonstrated, using AWS Lambda and/or AWS Sagemaker

Link: https://www.slideshare.net/PyData/usi...
---
www.pydata.org

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.

Comments are turned off
When autoplay is enabled, a suggested video will automatically play next.

Up next


to add this to Watch Later

Add to

Loading playlists...