Deep Learning in Depth: The Good, The Bad, and the Future (Podcast Series)

Abstract

Deep learning is traditionally three main things. One is that it is a composition of a series of non-linear filters. So, filter being the statistical term. So, any kind of non-linear function composed together end to end to end to end, that learns its own representation of the world.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2021
Accession Number
AD1146985

Entities

People

  • Carson Sestili
  • Ritwik Gupta
  • Will Hayes

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Space

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computational Science
  • Computer Languages
  • Computer Science
  • Computers
  • Cybersecurity
  • Data Science
  • Data Sets
  • Deep Learning
  • Engineering
  • Health Services
  • Image Recognition
  • Machine Learning
  • Network Science
  • Neural Networks
  • Software Development
  • United States

Readers

  • Educational Psychology
  • Microwave Engineering.
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks