Deconvoluting convolutions: A case study in image analysis

For the uninitiated, image analysis can be daunting, especially when it comes to deep learning. In this talk, we'll use Kaggle's 2018 Data Science Bowl as a case study in image analysis. Even if you've never worked with an image array before, you'll walk away with some foundational tools for image analysis and an understanding of why deep learning models perform so well. The talk begins at 7:00PM.

About the speaker:
Stephen Bailey is currently an NIH Fellow at Vanderbilt University, using magnetic resonance imaging to understand how education changes brain structure and function.

Thanks to NTC for providing the space!