Deep learning is a subfield of machine learning that builds predictive models using large artificial neural networks. Deep learning has revolutionized the fields of computer vision, automatic speech recognition, natural language processing, and numerous areas of computational biology. In this class, we will introduce the basic concepts of deep neural networks and cloud computing, discuss basic neural networks, convolutional neural networks and recurrent neural networks structures, and examine biomedical applications. Students are expected to be familiar with linear algebra, python and machine learning.
All course material will be posted here. See below for assignment deadlines.
NOTE: all lectures, labs and office hours will be held via Zoom until further notice. The links to each meeting can be found on the course Canvas site.
Heather Mattie
Instructor of Data Science
Harvard T.H. Chan School of Public Health
Building 1 Room 421A, 655 Huntington Ave, Boston
hemattie@hsph.harvard.edu
Office Hour: Tuesdays 1-2pm or by appointment
Kareem Carr
PhD Candidate, Biostatistics
kareemcarr@g.harvard.edu
Lab: Fridays 9:45-11:15am
Gopal Kotecha
PhD Candidate, Biostatistics
gkotecha@g.harvard.edu
Office Hours: Mondays 2:00-4:00pm