Gene Golub SIAM Summer School 2020
Dates: July 20-31, 2020
Venue: AIMS South Africa, Muizenberg, Cape Town
Theme: Theory and Practice of Deep Learning
Overview:
The focus of the school will be the theory, implementation, and application of deep learning based on neural nets with many layers. Students will learn the mathematical underpinnings of deep learning using functional analysis and optimization theory. They will be introduced to applications that include computer vision, non-linear programming, and forecasting, and will attend lectures by practitioners of deep learning in industry. Students will implement deep learning algorithms primarily using Python with TensorFlow and Keras.
Target Audience:
The intended audience is graduate students, meaning anyone studying beyond a three- or four-year undergraduate degree, who have done a significant amount of mathematics and some computing in their studies. Ideal candidates will be working on a research project that requires the use of deep learning methods.
Funding:
Applicants selected to participate will pay no registration fee, will be provided with standard student accommodation and meals and their travel expenses will be fully covered.
Application Deadline: February 1, 2020
Website: siam.org/students/g2s3/
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Dr. Bubacarr Bah
German Research Chair of Mathematics with specialization in Data Science,
African Institute for Mathematical Sciences (AIMS) South Africa
Senior Lecturer (Asst. Professor), Department of Mathematical Sciences,
Division of Applied Mathematics, Stellenbosch University
AIMS South Africa Research Centre
6 Melrose Road
Muizenberg, Cape Town 7945
Tel: +27 (0)21 787 9339
Cel: +27 (0)71 141 6579
https://sites.google.com/aims.ac.za/bubacarr