YoVDO

Emerging Properties in Self-Supervised Vision Transformers - Lecture 25

Offered By: University of Central Florida via YouTube

Tags

Computer Vision Courses Machine Learning Courses Neural Networks Courses Self-supervised Learning Courses Vision Transformers Courses

Course Description

Overview

Explore emerging properties in self-supervised vision transformers in this 26-minute lecture from the University of Central Florida's CAP6412 course. Delve into related topics, self-supervised learning techniques, and the Bootstrap Your Own Latent (BYOL) approach. Gain insights into the DynoModel, examining its overview and implementation details. Enhance your understanding of advanced computer vision concepts and their applications in modern machine learning frameworks.

Syllabus

Introduction
Related Topics
Selfsupervised learning
Bootstrap
Byol Dyno
Model Overview
Implementation Details


Taught by

UCF CRCV

Tags

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