YoVDO

Programming with Neural Surrogates of Programs

Offered By: Neurosymbolic Programming for Science via YouTube

Tags

Neural Networks Courses Deep Learning Courses Transformer Architecture Courses Neurosymbolic Programming Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the concept of neural surrogates in programming through this insightful talk by Alex Renda from MIT CSAIL. Delve into three case studies of surrogate-based design patterns, evaluated using a large-scale CPU simulator. Learn about two innovative approaches for constructing optimal program surrogates: the Renamer, a Transformer architecture invariant to semantics-preserving variable renaming, and Turaco, a methodology for sampling datasets to train neural network-based surrogates. Gain valuable insights into programming methodologies in the era of deep learning and discover how surrogates can enhance the speed and accuracy of complex programs.

Syllabus

Programming with Neural Surrogates of Programs


Taught by

Neurosymbolic Programming for Science

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera 機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera Leading Ambitious Teaching and Learning
Microsoft via edX