Deep Learning Certificate Part I

You will learn the practical details of deep learning applications with hands-on model building using Pytorch and work on problems ranging from computer vision, natural language processing, and recommendation systems.

After finishing this course you be able to:

  • apply transfer learning to image classification problems
  • use neural networks for recommendation algorithms
  • use recurrent neural networks and convolutional neural networks for text classification problems
  • apply neural networks to tabular data and learn embeddings for categorical variables
  • learn sentences that describe an image

Previous experience programming in Python and some machine learning background is advised to make best use of the course.

Details
Start Date Oct 22
Schedule 6:30-9 p.m.
on
Mon Oct 22
Tue Oct 30
Thu Nov 8
Tue Nov 13
Mon Nov 19
Tue Nov 27
Thu Dec 6
Location 101 Howard St.
San Francisco, CA
Instructor Jeremy Howard
Continuing Education Units 1.5
Cost $2,000
$1,500 for USF current students and alumni