Intriguing Properties of Neural Networks - Spring 2021
Offered By: University of Central Florida via YouTube
Course Description
Overview
Explore intriguing properties of neural networks in this 29-minute lecture from the University of Central Florida. Delve into key concepts including adversarial attacks, transfer learning, training overlap, and spectral analysis of instability. Examine semantic information in neural network units and identify potential weaknesses in these systems. Gain a deeper understanding of neural network behavior and challenges through this comprehensive overview of their fascinating characteristics.
Syllabus
Intro
Terminology
Intriguing properties
adversarial attack
transfer
training overlap
spectral analysis of unstability
Semantic information in units
Weaknesses
Taught by
UCF CRCV
Tags
Related Courses
Structuring Machine Learning ProjectsDeepLearning.AI via Coursera Natural Language Processing on Google Cloud
Google Cloud via Coursera Introduction to Learning Transfer and Life Long Learning (3L)
University of California, Irvine via Coursera Advanced Deployment Scenarios with TensorFlow
DeepLearning.AI via Coursera Neural Style Transfer with TensorFlow
Coursera Project Network via Coursera