RVerste

Research @ Verste (RVerste) is a free mentorship program for students to learn topics from graph theory, computational combinatorics, and deep learning before conducting their own research. All applications for RVerste 2023 have closed, please check back next year!

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Learn college-level concepts.

Topics such as combinatorics (much less computational combinatorics!) are usually not taught until college. Getting a head start now not only prepares you for higher education, but allows you to explore your interests and find out what you like. As a completely free program hosted by Verste, RVerste allows anyone to apply. RVerste is separated into 3 different programs: Computational Combinatorics, Deep Learning, and Graph Theory, with two programs having the February 6 start date. Feel free to apply to any of them below.

Deep Learning

Do you want to learn how AI like GPT-3 and Stable Diffusion really work? Well, if you’d like to a deep dive into how these models work at a very fundamental mathematical level, this is a great opportunity for you! RVerste Deep Learning is a 5 week program from February 6th, 2023 - March 10, 2023.

Apply for Deep Learning

Computational Combinatorics

Are you interested in the fundamental math that analyze the speed of an algorithm? In Computational Combinatorics, you will be exposed to the world of counting through interesting competitive math problems. RVerste Computational Combinatorics is a 7 week program from February 6th, 2023 - March 24, 2023.

Apply for Computational Combinatorics

Graph Theory

Graph theory is the study of graphs (not the x-y kind!) and the relationships between graphs. This course is an introduction to mathematical proofs and concepts in graph theory, including planarity, coloring, and more. RVerste x Graph Theory is a 8 week program from April 3 - May 19, 2023.

Apply for Graph Theory

More Program Details

Deep Learning

Do you want to learn how AI like GPT-3 and Stable Diffusion really work? Well, if you’d like to a deep dive into how these models work at a very fundamental mathematical level, this is a great opportunity for you

Apply for Deep Learning

Course Logistics

Program Dates: February 6th, 2023 - March 10, 2023

Meeting Times: Tuesdays & Thursdays at 6 - 7 PM ET

Course Syllabus: Deep Learning Syllabus

Pre-requisites: Basic linear algebra (vector, matrix), calculus (derivative, chain rule)

Instructor: Jacob Van Meter

What you'll learn

  • Learn all the math you'll need to know to understand all the nitty gritty of how Neural Networks work.
  • Learn how gradient descent optimization works (the secret ingredient to how Neural Networks learn!)
  • Learn how to program a Neural Network from scratch, and train it
  • Learn how to train a Neural Network to recognize handwritten digits
  • Learn how to use industry leading frameworks like PyTorch to speed up development of Neural Networks

Questions? Email Jacob at: jacob@verste.org