CSCI2470

Deep Learning

Instructor(s):
Course Home Page:
http://cs.brown.edu/courses/csci1470/
Location:Salomon DECI (Remote asynch possible via section 2)
Meeting Time:E hr: MWF 12:00-12:50
Exam Group:15: 20-DEC-2021 Exam Time: 09:00:00 AM
Semester:Fall, Spring
Offered this year?Yes
When Offered?Every year


Description

What is deep learning? How is it related to machine learning? How is it applied to perform tasks like classifying images or translating languages? Deep Learning belongs to a broader family of machine learning methods. Deep learning-based methods (e.g., convolutional neural networks, recurrent neural networks, autoencoders) have led to rapid improvements in applications like computer vision, natural language processing, robotics, and even genomics and health. In this course, you will get an overview of the prominent techniques of deep learning and their applications. This course is designed to help you understand the underlying concepts as well as the promise and pitfalls of deep learning. It also aims at providing hands-on practice of implementing and applying deep learning methods in Python.

A final project will implement an advanced piece of work in an application area of your choice.

Prerequisites: A basic programming course: (CSCI 0150, 0170 or 0190) A linear algebra course: (CSCI 0530, MATH 0520 or 0540) A stats / probability course: (CSCI 0220, 1450, 0450, MATH 1610, APMA 1650 or 1655)

CRN: 16077