Module: 2

Sponsoring Program: BMI
Administrator: Julia Molla

STUDY LIST INFORMATION
Course Number: BMI 219
Course Name: Deep Learning for Biological Research: Advanced Topics
Units: 3
Grading Option: S/U
Course Director: Mike Keiser

MORE COURSE INFORMATION
Other faculty: Kangway Chuang
Date: April 20 - May 8
Schedule: Lectures: Mon, Wed, Fri 10:00a-12:00p - Lab sessions: Tues, Thurs 1:00p - 3:00p
Maximum Class Size: 20
This Minicourse will be offered online. Instructions for ZOOM meetings will be sent by the course director.

Course Description: This three-week mini-course will establish the foundations of practical deep learning through a hands-on approach in Python. We will cover the basics of regression and classification, the optimization and training of neural networks, and model architectures including autoencoders, convolutional neural networks, and recurrent neural networks. The primary goal of this course is to equip students with the necessary foundations to apply basic neural networks to their own research. Experience with numerical computation in Python is required (or permission from the Instructor).