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 GPU 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 and machine learning and will participate in a group deep learning project.
All course material will be posted here. See below for assignment deadlines.
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: Wednesdays 1-3pm or by appointment
Matt Ploenzke
PhD Candidate, Biostatistics
ploenzke@g.harvard.edu
Office Hour: Fridays 11:15-12:15pm, Kresge 202A, except 3/29 and 5/17
Labs: Fridays 9:45-11:15am, LL6, except 3/29 and 5/17
Aaron Sonabend
PhD Candidate, Biostatistics
asonabend@g.harvard.edu
Office Hour: TBD