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.

Start Date Oct 22
Schedule 6:30-9 p.m.
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