Video quick keys
Transcript

Have you created a personal profile? sign in or create a profile so that you can create alerts, save clips, playlists and searches.

Length: 0:00

Deep Learning: Theory

Video Type: Tutorial

Transcript

Auto scroll
  • Tools
    Tools icon close
    • Cite
    • Share
    • Embed
    • Download PDFopens in new window
Summary

Dr. Chirag Shah, PhD, Associate Professor in the Information School, University of Washington, discusses the theory behind neural networks for deep learning, including basic concepts, perceptron, hidden layers, defining a cost function, how learning in neural networks works, and addressing the challenges of learning rate, batch processing, and overfitting.

locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles