YoVDO

How Well Do Sparse Models Transfer? - Exploring Transfer Performance in Computer Vision and NLP

Offered By: Neural Magic via YouTube

Tags

Model Compression Courses Machine Learning Courses Computer Vision Courses Neural Networks Courses BERT Courses Transfer Learning Courses ImageNet Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the transfer performance of sparse models in this 50-minute webinar recording from Neural Magic. Dive into the findings from two accepted papers: "How Well Do Sparse Imagenet Models Transfer" (CVPR 2022) and "The Optimal BERT Surgeon" (ENLP 2022). Discover how sparse models can match or surpass dense models in transfer performance, even at high sparsities, while offering significant inference and training speedups. Learn about the potential of sparse models in various applications and their implications for efficient machine learning. Engage with the Neural Magic team and community members through the Deep Sparse Community Slack for further discussions and questions.

Syllabus

How Well Do Sparse Models Transfer?


Taught by

Neural Magic

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera
Good Brain, Bad Brain: Basics
University of Birmingham via FutureLearn
Statistical Learning with R
Stanford University via edX
Machine Learning 1—Supervised Learning
Brown University via Udacity
Fundamentals of Neuroscience, Part 2: Neurons and Networks
Harvard University via edX